merge and refactor

This commit is contained in:
Bagus Indrayana 2023-08-17 21:30:52 +08:00
commit 74ecdee784
200 changed files with 3066 additions and 11226 deletions

247
README.md
View File

@ -83,27 +83,36 @@ import g4f
import g4f import g4f
print(g4f.Provider.Ails.params) # supported args print(g4f.provider.Ails.params) # supported args
# Automatic selection of provider # Automatic selection of provider
# streamed completion # streamed completion
response = g4f.ChatCompletion.create(model='gpt-3.5-turbo', messages=[ response = g4f.ChatCompletion.create(
{"role": "user", "content": "Hello world"}], stream=True) model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "Hello world"}],
stream=True,
)
for message in response: for message in response:
print(message) print(message, flush=True, end='')
# normal response # normal response
response = g4f.ChatCompletion.create(model=g4f.models.gpt_4, messages=[ response = g4f.ChatCompletion.create(
{"role": "user", "content": "hi"}]) # alterative model setting model=g4f.models.gpt_4,
messages=[{"role": "user", "content": "hi"}],
) # alterative model setting
print(response) print(response)
# Set with provider # Set with provider
response = g4f.ChatCompletion.create(model='gpt-3.5-turbo', provider=g4f.Provider.Forefront, messages=[ response = g4f.ChatCompletion.create(
{"role": "user", "content": "Hello world"}], stream=True) model="gpt-3.5-turbo",
provider=g4f.provider.DeepAi,
messages=[{"role": "user", "content": "Hello world"}],
stream=True,
)
for message in response: for message in response:
print(message) print(message)
@ -111,33 +120,21 @@ for message in response:
providers: providers:
```py ```py
from g4f.Provider import ( from g4f.provider import (
Ails, Acytoo,
You,
Bing,
Yqcloud,
Theb,
Aichat, Aichat,
Ails,
AiService,
AItianhu,
Bard, Bard,
Vercel, Bing,
Forefront, ChatgptAi,
Lockchat,
Liaobots,
H2o,
ChatgptLogin, ChatgptLogin,
DeepAi, DeepAi,
GetGpt, GetGpt
AItianhu,
EasyChat,
Acytoo,
DfeHub,
AiService,
BingHuan,
Wewordle,
ChatgptAi,
opchatgpts,
) )
# usage: # usage:
response = g4f.ChatCompletion.create(..., provider=ProviderName) response = g4f.ChatCompletion.create(..., provider=ProviderName)
``` ```
@ -152,82 +149,92 @@ python3 -m interference.app
```py ```py
import openai import openai
openai.api_key = '' openai.api_key = ""
openai.api_base = 'http://127.0.0.1:1337' openai.api_base = "http://localhost:1337"
chat_completion = openai.ChatCompletion.create(stream=True,
model='gpt-3.5-turbo', messages=[{'role': 'user', 'content': 'write a poem about a tree'}])
#print(chat_completion.choices[0].message.content) def main():
chat_completion = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "write a poem about a tree"}],
stream=True,
)
for token in chat_completion: if isinstance(chat_completion, dict):
# not stream
content = token['choices'][0]['delta'].get('content') print(chat_completion.choices[0].message.content)
if content != None: else:
print(content) # stream
for token in chat_completion:
content = token["choices"][0]["delta"].get("content")
if content != None:
print(content, end="", flush=True)
if __name__ == "__main__":
main()
``` ```
## Models ## Models
### gpt-3.5 / gpt-4 ### gpt-3.5 / gpt-4
| Website| Provider| gpt-3.5 | gpt-4 | Stream | Status | Auth | | Website| Provider| gpt-3.5 | gpt-4 | Streaming | Status | Auth |
| --- | --- | --- | --- | --- | --- | --- | | ------ | ------- | ------- | ----- | --------- | ------ | ---- |
| [ai.ls](https://ai.ls) | `g4f.Provider.Ails` | ✔️ | ❌ | ✔️ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ | | [www.aitianhu.com](https://www.aitianhu.com/api/chat-process) | g4f.provider.AItianhu | ✔️ | ❌ | ❌ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ |
| [you.com](https://you.com) | `g4f.Provider.You` | ✔️ | ❌ | ✔️ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ | | [chat.acytoo.com](https://chat.acytoo.com/api/completions) | g4f.provider.Acytoo | ✔️ | ❌ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ |
| [bing.com](https://bing.com/chat) | `g4f.Provider.Bing` | ❌ | ✔️ | ✔️ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ | | [aiservice.vercel.app](https://aiservice.vercel.app/api/chat/answer) | g4f.provider.AiService | ✔️ | ❌ | ❌ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ |
| [chat9.yqcloud.top](https://chat9.yqcloud.top/) | `g4f.Provider.Yqcloud` | ✔️ | ❌ | ✔️ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ | | [chat-gpt.org](https://chat-gpt.org/chat) | g4f.provider.Aichat | ✔️ | ❌ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ |
| [theb.ai](https://theb.ai) | `g4f.Provider.Theb` | ✔️ | ❌ | ✔️ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ | | [ai.ls](https://ai.ls) | g4f.provider.Ails | ✔️ | ❌ | ✔️ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ |
| [chat-gpt.org](https://chat-gpt.org/chat) | `g4f.Provider.Aichat` | ✔️ | ❌ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ | | [bard.google.com](https://bard.google.com) | g4f.provider.Bard | ❌ | ❌ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ✔️ |
| [bard.google.com](https://bard.google.com) | `g4f.Provider.Bard` | ❌ | ❌ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ✔️ | | [bing.com](https://bing.com/chat) | g4f.provider.Bing | ❌ | ✔️ | ❌ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ |
| [play.vercel.ai](https://play.vercel.ai) | `g4f.Provider.Vercel` | ✔️ | ❌ | ✔️ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ | | [chatgpt.ai](https://chatgpt.ai/gpt-4/) | g4f.provider.ChatgptAi | ❌ | ✔️ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ |
| [forefront.com](https://forefront.com) | `g4f.Provider.Forefront` | ✔️ | ❌ | ✔️ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ | | [chatgptlogin.ac](https://chatgptlogin.ac) | g4f.provider.ChatgptLogin | ✔️ | ❌ | ❌ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ |
| [supertest.lockchat.app](http://supertest.lockchat.app) | `g4f.Provider.Lockchat` | ✔️ | ✔️ | ✔️ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ | | [deepai.org](https://deepai.org) | g4f.provider.DeepAi | ✔️ | ❌ | ✔️ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ |
| [liaobots.com](https://liaobots.com) | `g4f.Provider.Liaobots` | ✔️ | ✔️ | ✔️ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ✔️ | | [chat.dfehub.com](https://chat.dfehub.com/api/chat) | g4f.provider.DfeHub | ✔️ | ❌ | ✔️ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ |
| [gpt-gm.h2o.ai](https://gpt-gm.h2o.ai) | `g4f.Provider.H2o` | ❌ | ❌ | ✔️ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ | | [free.easychat.work](https://free.easychat.work) | g4f.provider.EasyChat | ✔️ | ❌ | ✔️ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ |
| [chatgptlogin.ac](https://chatgptlogin.ac) | `g4f.Provider.ChatgptLogin` | ✔️ | ❌ | ❌ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ | | [forefront.com](https://forefront.com) | g4f.provider.Forefront | ✔️ | ❌ | ✔️ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ |
| [deepai.org](https://deepai.org) | `g4f.Provider.DeepAi` | ✔️ | ❌ | ✔️ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ | | [chat.getgpt.world](https://chat.getgpt.world/) | g4f.provider.GetGpt | ✔️ | ❌ | ✔️ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ |
| [chat.getgpt.world](https://chat.getgpt.world/) | `g4f.Provider.GetGpt` | ✔️ | ❌ | ✔️ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ | | [gpt-gm.h2o.ai](https://gpt-gm.h2o.ai) | g4f.provider.H2o | ❌ | ❌ | ✔️ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ |
| [www.aitianhu.com](https://www.aitianhu.com/api/chat-process) | `g4f.Provider.AItianhu` | ✔️ | ❌ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ | | [liaobots.com](https://liaobots.com) | g4f.provider.Liaobots | ✔️ | ✔️ | ✔️ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ✔️ |
| [free.easychat.work](https://free.easychat.work) | `g4f.Provider.EasyChat` | ✔️ | ❌ | ✔️ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ | | [supertest.lockchat.app](http://supertest.lockchat.app) | g4f.provider.Lockchat | ✔️ | ✔️ | ✔️ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ |
| [chat.acytoo.com](https://chat.acytoo.com/api/completions) | `g4f.Provider.Acytoo` | ✔️ | ❌ | ❌ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ | | [opchatgpts.net](https://opchatgpts.net) | g4f.provider.Opchatgpts | ✔️ | ❌ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ |
| [chat.dfehub.com](https://chat.dfehub.com/api/chat) | `g4f.Provider.DfeHub` | ✔️ | ❌ | ✔️ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ | | [backend.raycast.com](https://backend.raycast.com/api/v1/ai/chat_completions) | g4f.provider.Raycast | ✔️ | ✔️ | ✔️ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ✔️ |
| [aiservice.vercel.app](https://aiservice.vercel.app/api/chat/answer) | `g4f.Provider.AiService` | ✔️ | ❌ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ | | [theb.ai](https://theb.ai) | g4f.provider.Theb | ✔️ | ❌ | ✔️ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ |
| [b.ai-huan.xyz](https://b.ai-huan.xyz) | `g4f.Provider.BingHuan` | ✔️ | ✔️ | ✔️ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ | | [play.vercel.ai](https://play.vercel.ai) | g4f.provider.Vercel | ✔️ | ❌ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ |
| [wewordle.org](https://wewordle.org/gptapi/v1/android/turbo) | `g4f.Provider.Wewordle` | ✔️ | ❌ | ❌ | ![Inactive](https://img.shields.io/badge/Inactive-red) | ❌ | | [wewordle.org](https://wewordle.org/gptapi/v1/android/turbo) | g4f.provider.Wewordle | ✔️ | ❌ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ |
| [chatgpt.ai](https://chatgpt.ai/gpt-4/) | `g4f.Provider.ChatgptAi` | ❌ | ✔️ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ | | [you.com](https://you.com) | g4f.provider.You | ✔️ | ❌ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ |
| [opchatgpts.net](https://opchatgpts.net) | `g4f.Provider.opchatgpts` | ✔️ | ❌ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ | | [chat9.yqcloud.top](https://chat9.yqcloud.top/) | g4f.provider.Yqcloud | ✔️ | ❌ | ❌ | ![Active](https://img.shields.io/badge/Active-brightgreen) | ❌ |
### Other Models ### Other Models
| Model| Base Provider | Provider | Website | | Model | Base Provider | Provider | Website |
| ------- | ----------- | ---- |---- | | --------------------------------------- | ------------- | ------------------- | ------------------------------------------- |
| palm2 | Google | `g4f.Provider.Bard` | [bard.google.com](https://bard.google.com/) | | palm | Google | g4f.provider.Bard | [bard.google.com](https://bard.google.com/) |
| falcon-40b | Huggingface | `g4f.Provider.H2o` | [H2o](https://www.h2o.ai/) | | h2ogpt-gm-oasst1-en-2048-falcon-7b-v3 | Huggingface | g4f.provider.H2o | [www.h2o.ai](https://www.h2o.ai/) |
| falcon-7b | Huggingface |`g4f.Provider.H2o` | [H2o](https://www.h2o.ai/) | | h2ogpt-gm-oasst1-en-2048-falcon-40b-v1 | Huggingface | g4f.provider.H2o | [www.h2o.ai](https://www.h2o.ai/) |
| llama-13b | Huggingface | `g4f.Provider.H2o`| [H2o](https://www.h2o.ai/) | | h2ogpt-gm-oasst1-en-2048-open-llama-13b | Huggingface | g4f.provider.H2o | [www.h2o.ai](https://www.h2o.ai/) |
| claude-instant-v1-100k | Anthropic | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | claude-instant-v1 | Anthropic | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| claude-instant-v1 | Anthropic | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | claude-v1 | Anthropic | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| claude-v1-100k | Anthropic | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | claude-v2 | Anthropic | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| claude-v1 | Anthropic | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | command-light-nightly | Cohere | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| alpaca-7b | Replicate | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | command-nightly | Cohere | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| stablelm-tuned-alpha-7b | Replicate | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | gpt-neox-20b | Huggingface | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| bloom | Huggingface | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | oasst-sft-1-pythia-12b | Huggingface | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| bloomz | Huggingface | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | oasst-sft-4-pythia-12b-epoch-3.5 | Huggingface | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| flan-t5-xxl | Huggingface | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | santacoder | Huggingface | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| flan-ul2 | Huggingface | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | bloom | Huggingface | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| gpt-neox-20b | Huggingface | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | flan-t5-xxl | Huggingface | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| oasst-sft-4-pythia-12b-epoch-3.5 |Huggingface | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | code-davinci-002 | OpenAI | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| santacoder | Huggingface | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | gpt-3.5-turbo-16k | OpenAI | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| command-medium-nightly | Cohere | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | gpt-3.5-turbo-16k-0613 | OpenAI | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| command-xlarge-nightly | Cohere | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | gpt-4-0613 | OpenAI | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| code-cushman-001 | OpenAI | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | text-ada-001 | OpenAI | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| code-davinci-002 | OpenAI | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | text-babbage-001 | OpenAI | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| text-ada-001 | OpenAI | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | text-curie-001 | OpenAI | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| text-babbage-001 | OpenAI | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | text-davinci-002 | OpenAI | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| text-curie-001 | OpenAI | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | text-davinci-003 | OpenAI | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| text-davinci-002 | OpenAI | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | llama13b-v2-chat | Replicate | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
| text-davinci-003 | OpenAI | `g4f.Provider.Vercel` | [sdk.vercel.ai](https://sdk.vercel.ai/) | | llama7b-v2-chat | Replicate | g4f.provider.Vercel | [sdk.vercel.ai](https://sdk.vercel.ai/) |
## Related gpt4free projects ## Related gpt4free projects
@ -283,46 +290,48 @@ for token in chat_completion:
## Contribute ## Contribute
to add another provider, its very simple: to add another provider, its very simple:
1. create a new file in [g4f/Provider/Providers](./g4f/Provider/Providers) with the name of the Provider 1. create a new file in [g4f/provider](./g4f/provider) with the name of the Provider
2. in the file, paste the *Boilerplate* you can find in [g4f/Provider/Provider.py](./g4f/Provider/Provider.py): 2. Implement a class that extends [BaseProvider](./g4f/provider/base_provider.py).
```py ```py
import os from .base_provider import BaseProvider
from ..typing import sha256, Dict, get_type_hints from ..typing import CreateResult, Any
url = None
model = None
supports_stream = False
needs_auth = False
def _create_completion(model: str, messages: list, stream: bool, **kwargs):
return
params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \ class HogeService(BaseProvider):
'(%s)' % ', '.join( url = "http://hoge.com"
[f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]]) working = True
supports_gpt_35_turbo = True
@staticmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
stream: bool,
**kwargs: Any,
) -> CreateResult:
pass
``` ```
3. Here, you can adjust the settings, for example if the website does support streaming, set `supports_stream` to `True`... 3. Here, you can adjust the settings, for example if the website does support streaming, set `working` to `True`...
4. Write code to request the provider in `_create_completion` and `yield` the response, *even if* its a one-time response, do not hesitate to look at other providers for inspiration 4. Write code to request the provider in `create_completion` and `yield` the response, *even if* its a one-time response, do not hesitate to look at other providers for inspiration
5. Add the Provider Name in [g4f/Provider/__init__.py](./g4f/Provider/__init__.py) 5. Add the Provider Name in [g4f/provider/__init__.py](./g4f/provider/__init__.py)
```py ```py
from . import Provider from .base_provider import BaseProvider
from .Providers import ( from .HogeService import HogeService
...,
ProviderNameHere __all__ = [
) HogeService,
]
``` ```
6. You are done !, test the provider by calling it: 6. You are done !, test the provider by calling it:
```py ```py
import g4f import g4f
response = g4f.ChatCompletion.create(model='gpt-3.5-turbo', provider=g4f.Provider.PROVIDERNAME, response = g4f.ChatCompletion.create(model='gpt-3.5-turbo', provider=g4f.provider.PROVIDERNAME,
messages=[{"role": "user", "content": "test"}], stream=g4f.Provider.PROVIDERNAME.supports_stream) messages=[{"role": "user", "content": "test"}], stream=g4f.provider.PROVIDERNAME.supports_stream)
for message in response: for message in response:
print(message, flush=True, end='') print(message, flush=True, end='')

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@ -1,9 +0,0 @@
# Development
.dockerignore
.git
.gitignore
.github
.idea
# Application
venv/

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@ -1,128 +0,0 @@
# Contributor Covenant Code of Conduct
## Our Pledge
We as members, contributors, and leaders pledge to make participation in our
community a harassment-free experience for everyone, regardless of age, body
size, visible or invisible disability, ethnicity, sex characteristics, gender
identity and expression, level of experience, education, socio-economic status,
nationality, personal appearance, race, religion, or sexual identity
and orientation.
We pledge to act and interact in ways that contribute to an open, welcoming,
diverse, inclusive, and healthy community.
## Our Standards
Examples of behavior that contributes to a positive environment for our
community include:
* Demonstrating empathy and kindness toward other people
* Being respectful of differing opinions, viewpoints, and experiences
* Giving and gracefully accepting constructive feedback
* Accepting responsibility and apologizing to those affected by our mistakes,
and learning from the experience
* Focusing on what is best not just for us as individuals, but for the
overall community
Examples of unacceptable behavior include:
* The use of sexualized language or imagery, and sexual attention or
advances of any kind
* Trolling, insulting or derogatory comments, and personal or political attacks
* Public or private harassment
* Publishing others' private information, such as a physical or email
address, without their explicit permission
* Other conduct which could reasonably be considered inappropriate in a
professional setting
## Enforcement Responsibilities
Community leaders are responsible for clarifying and enforcing our standards of
acceptable behavior and will take appropriate and fair corrective action in
response to any behavior that they deem inappropriate, threatening, offensive,
or harmful.
Community leaders have the right and responsibility to remove, edit, or reject
comments, commits, code, wiki edits, issues, and other contributions that are
not aligned to this Code of Conduct, and will communicate reasons for moderation
decisions when appropriate.
## Scope
This Code of Conduct applies within all community spaces, and also applies when
an individual is officially representing the community in public spaces.
Examples of representing our community include using an official e-mail address,
posting via an official social media account, or acting as an appointed
representative at an online or offline event.
## Enforcement
Instances of abusive, harassing, or otherwise unacceptable behavior may be
reported to the community leaders responsible for enforcement at
https://t.me/xtekky.
All complaints will be reviewed and investigated promptly and fairly.
All community leaders are obligated to respect the privacy and security of the
reporter of any incident.
## Enforcement Guidelines
Community leaders will follow these Community Impact Guidelines in determining
the consequences for any action they deem in violation of this Code of Conduct:
### 1. Correction
**Community Impact**: Use of inappropriate language or other behavior deemed
unprofessional or unwelcome in the community.
**Consequence**: A private, written warning from community leaders, providing
clarity around the nature of the violation and an explanation of why the
behavior was inappropriate. A public apology may be requested.
### 2. Warning
**Community Impact**: A violation through a single incident or series
of actions.
**Consequence**: A warning with consequences for continued behavior. No
interaction with the people involved, including unsolicited interaction with
those enforcing the Code of Conduct, for a specified period of time. This
includes avoiding interactions in community spaces as well as external channels
like social media. Violating these terms may lead to a temporary or
permanent ban.
### 3. Temporary Ban
**Community Impact**: A serious violation of community standards, including
sustained inappropriate behavior.
**Consequence**: A temporary ban from any sort of interaction or public
communication with the community for a specified period of time. No public or
private interaction with the people involved, including unsolicited interaction
with those enforcing the Code of Conduct, is allowed during this period.
Violating these terms may lead to a permanent ban.
### 4. Permanent Ban
**Community Impact**: Demonstrating a pattern of violation of community
standards, including sustained inappropriate behavior, harassment of an
individual, or aggression toward or disparagement of classes of individuals.
**Consequence**: A permanent ban from any sort of public interaction within
the community.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant][homepage],
version 2.0, available at
https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
Community Impact Guidelines were inspired by [Mozilla's code of conduct
enforcement ladder](https://github.com/mozilla/diversity).
[homepage]: https://www.contributor-covenant.org
For answers to common questions about this code of conduct, see the FAQ at
https://www.contributor-covenant.org/faq. Translations are available at
https://www.contributor-covenant.org/translations.

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@ -1,8 +0,0 @@
<img alt="gpt4free logo" src="https://user-images.githubusercontent.com/98614666/233799515-1a7cb6a3-b17f-42c4-956d-8d2a0664466f.png">
### Please, follow these steps to contribute:
1. Reverse a website from this list: [sites-to-reverse](https://github.com/xtekky/gpt4free/issues/40)
2. Add it to [./testing](https://github.com/xtekky/gpt4free/tree/main/testing)
3. Refractor it and add it to [./gpt4free](https://github.com/xtekky/gpt4free/tree/main/gpt4free)
### We will be grateful to see you as a contributor!

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@ -1,19 +0,0 @@
FROM python:3.11.3-slim
RUN apt-get update \
&& apt-get install -y --no-install-recommends ffmpeg \
&& apt-get -y clean \
&& rm -rf /var/lib/apt/lists/*
COPY requirements.txt /tmp
RUN pip install --upgrade pip \
&& pip install -r /tmp/requirements.txt \
&& rm /tmp/requirements.txt
COPY . /root/gpt4free
WORKDIR /root/gpt4free
CMD ["streamlit", "run", "./gui/streamlit_app.py"]
EXPOSE 8501

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@ -1,674 +0,0 @@
GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
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not convey it at all. For example, if you agree to terms that obligate you
to collect a royalty for further conveying from those to whom you convey
the Program, the only way you could satisfy both those terms and this
License would be to refrain entirely from conveying the Program.
13. Use with the GNU Affero General Public License.
Notwithstanding any other provision of this License, you have
permission to link or combine any covered work with a work licensed
under version 3 of the GNU Affero General Public License into a single
combined work, and to convey the resulting work. The terms of this
License will continue to apply to the part which is the covered work,
but the special requirements of the GNU Affero General Public License,
section 13, concerning interaction through a network will apply to the
combination as such.
14. Revised Versions of this License.
The Free Software Foundation may publish revised and/or new versions of
the GNU General Public License from time to time. Such new versions will
be similar in spirit to the present version, but may differ in detail to
address new problems or concerns.
Each version is given a distinguishing version number. If the
Program specifies that a certain numbered version of the GNU General
Public License "or any later version" applies to it, you have the
option of following the terms and conditions either of that numbered
version or of any later version published by the Free Software
Foundation. If the Program does not specify a version number of the
GNU General Public License, you may choose any version ever published
by the Free Software Foundation.
If the Program specifies that a proxy can decide which future
versions of the GNU General Public License can be used, that proxy's
public statement of acceptance of a version permanently authorizes you
to choose that version for the Program.
Later license versions may give you additional or different
permissions. However, no additional obligations are imposed on any
author or copyright holder as a result of your choosing to follow a
later version.
15. Disclaimer of Warranty.
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
16. Limitation of Liability.
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WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<https://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.

View File

@ -1,255 +0,0 @@
**A major update is to come this week (statement written 14 Jun)**
**You may check these out in the meanwhile**:
- v2 prototype of gpt4free someone made: https://gitler.moe/g4f/gpt4free
- Discord bot with gpt-4 using poe.com: https://github.com/xtekky/gpt4free-discord
______
What can I do to contribute ?
you reverse a site from this list: [sites-to-reverse](https://github.com/xtekky/gpt4free/issues/40), and add it to [`./testing`](https://github.com/xtekky/gpt4free/tree/main/testing) or refractor it and add it to [`./gpt4free`](https://github.com/xtekky/gpt4free/tree/main/gpt4free)
<p>You may join our discord: <a href="https://discord.com/invite/gpt4free">discord.gg/gpt4free<a> for further updates. <a href="https://discord.gg/gpt4free"><img align="center" alt="gpt4free Discord" width="22px" src="https://raw.githubusercontent.com/peterthehan/peterthehan/master/assets/discord.svg" /></a></p>
<img alt="gpt4free logo" src="https://user-images.githubusercontent.com/98614666/233799515-1a7cb6a3-b17f-42c4-956d-8d2a0664466f.png">
## Legal Notice <a name="legal-notice"></a>
This repository is _not_ associated with or endorsed by providers of the APIs contained in this GitHub repository. This project is intended **for educational purposes only**. This is just a little personal project. Sites may contact me to improve their security or request the removal of their site from this repository.
Please note the following:
1. **Disclaimer**: The APIs, services, and trademarks mentioned in this repository belong to their respective owners. This project is _not_ claiming any right over them nor is it affiliated with or endorsed by any of the providers mentioned.
2. **Responsibility**: The author of this repository is _not_ responsible for any consequences, damages, or losses arising from the use or misuse of this repository or the content provided by the third-party APIs. Users are solely responsible for their actions and any repercussions that may follow. We strongly recommend the users to follow the TOS of the each Website.
3. **Educational Purposes Only**: This repository and its content are provided strictly for educational purposes. By using the information and code provided, users acknowledge that they are using the APIs and models at their own risk and agree to comply with any applicable laws and regulations.
4. **Indemnification**: Users agree to indemnify, defend, and hold harmless the author of this repository from and against any and all claims, liabilities, damages, losses, or expenses, including legal fees and costs, arising out of or in any way connected with their use or misuse of this repository, its content, or related third-party APIs.
5. **Updates and Changes**: The author reserves the right to modify, update, or remove any content, information, or features in this repository at any time without prior notice. Users are responsible for regularly reviewing the content and any changes made to this repository.
By using this repository or any code related to it, you agree to these terms. The author is not responsible for any copies, forks, or reuploads made by other users. This is the author's only account and repository. To prevent impersonation or irresponsible actions, you may comply with the GNU GPL license this Repository uses.
<br>
<img src="https://media.giphy.com/media/LnQjpWaON8nhr21vNW/giphy.gif" width="100" align="left">
Just API's from some language model sites.
# Related gpt4free projects
<table>
<thead align="center">
<tr border: none;>
<td><b>🎁 Projects</b></td>
<td><b>⭐ Stars</b></td>
<td><b>📚 Forks</b></td>
<td><b>🛎 Issues</b></td>
<td><b>📬 Pull requests</b></td>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://github.com/xtekky/gpt4free"><b>gpt4free</b></a></td>
<td><a href="https://github.com/xtekky/gpt4free/stargazers"><img alt="Stars" src="https://img.shields.io/github/stars/xtekky/gpt4free?style=flat-square&labelColor=343b41"/></a></td>
<td><a href="https://github.com/xtekky/gpt4free/network/members"><img alt="Forks" src="https://img.shields.io/github/forks/xtekky/gpt4free?style=flat-square&labelColor=343b41"/></a></td>
<td><a href="https://github.com/xtekky/gpt4free/issues"><img alt="Issues" src="https://img.shields.io/github/issues/xtekky/gpt4free?style=flat-square&labelColor=343b41"/></a></td>
<td><a href="https://github.com/xtekky/gpt4free/pulls"><img alt="Pull Requests" src="https://img.shields.io/github/issues-pr/xtekky/gpt4free?style=flat-square&labelColor=343b41"/></a></td>
</tr>
<tr>
<td><a href="https://github.com/xiangsx/gpt4free-ts"><b>gpt4free-ts</b></a></td>
<td><a href="https://github.com/xiangsx/gpt4free-ts/stargazers"><img alt="Stars" src="https://img.shields.io/github/stars/xiangsx/gpt4free-ts?style=flat-square&labelColor=343b41"/></a></td>
<td><a href="https://github.com/xiangsx/gpt4free-ts/network/members"><img alt="Forks" src="https://img.shields.io/github/forks/xiangsx/gpt4free-ts?style=flat-square&labelColor=343b41"/></a></td>
<td><a href="https://github.com/xiangsx/gpt4free-ts/issues"><img alt="Issues" src="https://img.shields.io/github/issues/xiangsx/gpt4free-ts?style=flat-square&labelColor=343b41"/></a></td>
<td><a href="https://github.com/xiangsx/gpt4free-ts/pulls"><img alt="Pull Requests" src="https://img.shields.io/github/issues-pr/xiangsx/gpt4free-ts?style=flat-square&labelColor=343b41"/></a></td>
</tr>
<tr>
<td><a href="https://github.com/xtekky/chatgpt-clone"><b>ChatGPT-Clone</b></a></td>
<td><a href="https://github.com/xtekky/chatgpt-clone/stargazers"><img alt="Stars" src="https://img.shields.io/github/stars/xtekky/chatgpt-clone?style=flat-square&labelColor=343b41"/></a></td>
<td><a href="https://github.com/xtekky/chatgpt-clone/network/members"><img alt="Forks" src="https://img.shields.io/github/forks/xtekky/chatgpt-clone?style=flat-square&labelColor=343b41"/></a></td>
<td><a href="https://github.com/xtekky/chatgpt-clone/issues"><img alt="Issues" src="https://img.shields.io/github/issues/xtekky/chatgpt-clone?style=flat-square&labelColor=343b41"/></a></td>
<td><a href="https://github.com/xtekky/chatgpt-clone/pulls"><img alt="Pull Requests" src="https://img.shields.io/github/issues-pr/xtekky/chatgpt-clone?style=flat-square&labelColor=343b41"/></a></td>
</tr>
<tr>
<td><a href="https://github.com/mishalhossin/Discord-Chatbot-Gpt4Free"><b>ChatGpt Discord Bot</b></a></td>
<td><a href="https://github.com/mishalhossin/Discord-Chatbot-Gpt4Free/stargazers"><img alt="Stars" src="https://img.shields.io/github/stars/mishalhossin/Discord-Chatbot-Gpt4Free?style=flat-square&labelColor=343b41"/></a></td>
<td><a href="https://github.com/mishalhossin/Discord-Chatbot-Gpt4Free/network/members"><img alt="Forks" src="https://img.shields.io/github/forks/mishalhossin/Discord-Chatbot-Gpt4Free?style=flat-square&labelColor=343b41"/></a></td>
<td><a href="https://github.com/mishalhossin/Discord-Chatbot-Gpt4Free/issues"><img alt="Issues" src="https://img.shields.io/github/issues/mishalhossin/Discord-Chatbot-Gpt4Free?style=flat-square&labelColor=343b41"/></a></td>
<td><a href="https://github.com/mishalhossin/Coding-Chatbot-Gpt4Free/pulls"><img alt="Pull Requests" src="https://img.shields.io/github/issues-pr/mishalhossin/Discord-Chatbot-Gpt4Free?style=flat-square&labelColor=343b41"/></a></td>
</tr>
</tbody>
</table>
## Table of Contents
| Section | Description | Link | Status |
| ------- | ----------- | ---- | ------ |
| **To do list** | List of tasks to be done | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#todo) | - |
| **Current Sites** | Current websites or platforms that can be used as APIs | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#current-sites) | - |
| **Best Sites for gpt4** | Recommended websites or platforms for gpt4 | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#best-sites) | - |
| **Streamlit GPT4Free GUI** | Web-based graphical user interface for interacting with gpt4free | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#streamlit-gpt4free-gui) | - |
| **Docker** | Instructions on how to run gpt4free in a Docker container | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#docker-instructions) | - |
| **ChatGPT clone** | A ChatGPT clone with new features and scalability | [![Link to Website](https://img.shields.io/badge/Link-Visit%20Site-blue)](https://chat.chatbot.sex/chat) | - |
| **How to install** | Instructions on how to install gpt4free | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#install) | - |
| **Usage Examples** | | | |
| `theb` | Example usage for theb (gpt-3.5) | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/theb/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
| `forefront` | Example usage for forefront (gpt-4) | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/forefront/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) | ||
| `quora (poe)` | Example usage for quora | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/quora/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
| `you` | Example usage for you | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/you/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
| `deepai` | Example usage for DeepAI (gpt-3.5, with chat) | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/deepai/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
| **Try it Out** | | | |
| Google Colab Jupyter Notebook | Example usage for gpt4free | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DanielShemesh/gpt4free-colab/blob/main/gpt4free.ipynb) | - |
| replit Example (feel free to fork this repl) | Example usage for gpt4free | [![](https://img.shields.io/badge/Open%20in-Replit-1A1E27?logo=replit)](https://replit.com/@gpt4free/gpt4free-webui) | - |
| **Legal Notice** | Legal notice or disclaimer | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#legal-notice) | - |
| **Copyright** | Copyright information | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#copyright) | - |
| **Star History** | Star History | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#star-history) | - |
## To do list <a name="todo"></a>
- [x] Add a GUI for the repo
- [ ] Make a general package named `gpt4free`, instead of different folders
- [ ] Live api status to know which are down and which can be used
- [ ] Integrate more API's in `./unfinished` as well as other ones in the lists
- [ ] Make an API to use as proxy for other projects
- [ ] Make a pypi package
## Current Sites <a name="current-sites"></a>
| Website s | Model(s) |
| ------------------------------------------------ | -------------------------------- |
| [forefront.ai](https://chat.forefront.ai) | GPT-4/3.5 |
| [poe.com](https://poe.com) | GPT-4/3.5 |
| [writesonic.com](https://writesonic.com) | GPT-3.5 / Internet |
| [t3nsor.com](https://t3nsor.com) | GPT-3.5 |
| [you.com](https://you.com) | GPT-3.5 / Internet / good search |
| [sqlchat.ai](https://sqlchat.ai) | GPT-3.5 |
| [bard.google.com](https://bard.google.com) | custom / search |
| [bing.com/chat](https://bing.com/chat) | GPT-4/3.5 |
| [italygpt.it](https://italygpt.it) | GPT-3.5 |
| [deepai.org](https://deepai.org/chat) | GPT-3.5 / chat support |
## Best sites <a name="best-sites"></a>
#### gpt-4
- [`/forefront`](gpt4free/forefront/README.md)
#### gpt-3.5
- [`/you`](gpt4free/you/README.md)
## Install <a name="install"></a>
Download or clone this GitHub repo
install requirements with:
```sh
python3 -m venv venv
. venv/bin/activate
pip3 install -r requirements.txt
```
## Install ffmpeg
```sh
sudo apt-get install ffmpeg
```
## Connect VPN if needed and get proxy (Optional)
```sh
echo "$http_proxy" # http://127.0.0.1:8889/
```
## Set proxy in gpt4free/you/__init__.py (Optional)
```
diff --git a/gpt4free/you/__init__.py b/gpt4free/you/__init__.py
index 11847fb..59d1162 100644
--- a/gpt4free/you/__init__.py
+++ b/gpt4free/you/__init__.py
@@ -38,6 +38,7 @@ class Completion:
if chat is None:
chat = []
+ proxy = '127.0.0.1:8889'
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else {}
client = Session(client_identifier='chrome_108')
```
## To start gpt4free GUI <a name="streamlit-gpt4free-gui"></a>
##### Note: streamlit app collects heavy analytics even when running locally. This includes events for every page load, form submission including metadata on queries (like length), browser and client information including host ips. These are all transmitted to a 3rd party analytics group, Segment.com.
Move `streamlit_app.py` from `./gui` to the base folder then run:
`streamlit run streamlit_app.py` or `python3 -m streamlit run streamlit_app.py`
```sh
cp gui/streamlit_app.py .
streamlit run streamlit_app.py
```
## Docker <a name="docker-instructions"></a>
Build
```
docker build -t gpt4free:latest .
```
Run
```
docker run -p 8501:8501 gpt4free:latest
```
## Deploy using docker-compose
Run the following:
```
docker-compose up --build -d
```
## ChatGPT clone
> Currently implementing new features and trying to scale it, please be patient it may be unstable
> https://chat.g4f.ai/chat
> This site was developed by me and includes **gpt-4/3.5**, **internet access** and **gpt-jailbreak's** like DAN
> Run locally here: https://github.com/xtekky/chatgpt-clone
## Copyright:
This program is licensed under the [GNU GPL v3](https://www.gnu.org/licenses/gpl-3.0.txt)
Most code, with the exception of `quora/api.py` and `deepai/__init__.py` (by [ading2210](https://github.com/ading2210)), has been written by me, [xtekky](https://github.com/xtekky).
### Copyright Notice: <a name="copyright"></a>
```
xtekky/gpt4free: multiple reverse engineered language-model api's to decentralise the ai industry.
Copyright (C) 2023 xtekky
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
```
## Star History <a name="star-history"></a>
<a href="https://github.com/xtekky/gpt4free/stargazers">
<img width="500" alt="Star History Chart" src="https://api.star-history.com/svg?repos=xtekky/gpt4free&type=Date">
</a>

View File

@ -1,4 +0,0 @@
## Reporting a Vulnerability
Reporting a Vulnerability
Please report (suspected) security vulnerabilities to https://t.me/xtekky. You will receive a response within 48 hours. If the issue is confirmed, we will release a patch as soon as possible depending on complexity but historically within a few days.

View File

@ -1,15 +0,0 @@
Bootstrap: docker
From: python:3.10-slim
%post
apt-get update && apt-get install -y git
git clone https://github.com/xtekky/gpt4free.git
cd gpt4free
pip install --no-cache-dir -r requirements.txt
cp gui/streamlit_app.py .
%expose
8501
%startscript
exec streamlit run streamlit_app.py

View File

@ -1,15 +0,0 @@
version: "3.9"
services:
gpt4free:
build:
context: ./
dockerfile: Dockerfile
container_name: dc_gpt4free
# environment:
# - http_proxy=http://127.0.0.1:1080 # modify this for your proxy
# - https_proxy=http://127.0.0.1:1080 # modify this for your proxy
image: img_gpt4free
ports:
- 8501:8501
restart: always

View File

@ -1,110 +0,0 @@
# gpt4free package
### What is it?
gpt4free is a python package that provides some language model api's
### Main Features
- It's free to use
- Easy access
### Installation:
```bash
pip install gpt4free
```
#### Usage:
```python
import gpt4free
from gpt4free import Provider, quora, forefront
# usage You
response = gpt4free.Completion.create(Provider.You, prompt='Write a poem on Lionel Messi')
print(response)
# usage Poe
token = quora.Account.create(logging=False)
response = gpt4free.Completion.create(Provider.Poe, prompt='Write a poem on Lionel Messi', token=token, model='ChatGPT')
print(response)
# usage forefront
token = forefront.Account.create(logging=False)
response = gpt4free.Completion.create(
Provider.ForeFront, prompt='Write a poem on Lionel Messi', model='gpt-4', token=token
)
print(response)
print(f'END')
# usage theb
response = gpt4free.Completion.create(Provider.Theb, prompt='Write a poem on Lionel Messi')
print(response)
```
### Invocation Arguments
`gpt4free.Completion.create()` method has two required arguments
1. Provider: This is an enum representing different provider
2. prompt: This is the user input
#### Keyword Arguments
Some of the keyword arguments are optional, while others are required.
- You:
- `safe_search`: boolean - default value is `False`
- `include_links`: boolean - default value is `False`
- `detailed`: boolean - default value is `False`
- Quora:
- `token`: str - this needs to be provided by the user
- `model`: str - default value is `gpt-4`.
(Available models: `['Sage', 'GPT-4', 'Claude+', 'Claude-instant', 'ChatGPT', 'Dragonfly', 'NeevaAI']`)
- ForeFront:
- `token`: str - this need to be provided by the user
- Theb:
(no keyword arguments required)
#### Token generation of quora
```python
from gpt4free import quora
token = quora.Account.create(logging=False)
```
### Token generation of ForeFront
```python
from gpt4free import forefront
token = forefront.Account.create(logging=False)
```
## Copyright:
This program is licensed under the [GNU GPL v3](https://www.gnu.org/licenses/gpl-3.0.txt)
### Copyright Notice: <a name="copyright"></a>
```
xtekky/gpt4free: multiple reverse engineered language-model api's to decentralise the ai industry.
Copyright (C) 2023 xtekky
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
```

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@ -1,103 +0,0 @@
from enum import Enum
from gpt4free import forefront
from gpt4free import quora
from gpt4free import theb
from gpt4free import usesless
from gpt4free import you
from gpt4free import aicolors
from gpt4free import deepai
class Provider(Enum):
"""An enum representing different providers."""
You = "you"
Poe = "poe"
ForeFront = "fore_front"
Theb = "theb"
UseLess = "useless"
AiColors = "ai_colors"
DeepAI = "deepai"
class Completion:
"""This class will be used for invoking the given provider"""
@staticmethod
def create(provider: Provider, prompt: str, **kwargs) -> str:
"""
Invokes the given provider with given prompt and addition arguments and returns the string response
:param provider: an enum representing the provider to use while invoking
:param prompt: input provided by the user
:param kwargs: Additional keyword arguments to pass to the provider while invoking
:return: A string representing the response from the provider
"""
if provider == Provider.Poe:
return Completion.__poe_service(prompt, **kwargs)
elif provider == Provider.You:
return Completion.__you_service(prompt, **kwargs)
elif provider == Provider.ForeFront:
return Completion.__fore_front_service(prompt, **kwargs)
elif provider == Provider.Theb:
return Completion.__theb_service(prompt, **kwargs)
elif provider == Provider.UseLess:
return Completion.__useless_service(prompt, **kwargs)
elif provider == Provider.AiColors:
return Completion.__ai_colors_service(prompt, **kwargs)
elif provider == Provider.DeepAI:
return Completion.__deepai_service(prompt, **kwargs)
else:
raise Exception("Provider not exist, Please try again")
@staticmethod
def __ai_colors_service(prompt: str):
return aicolors.Completion.create(prompt=prompt)
@staticmethod
def __useless_service(prompt: str, **kwargs) -> str:
return usesless.Completion.create(prompt=prompt, **kwargs)
@staticmethod
def __you_service(prompt: str, **kwargs) -> str:
return you.Completion.create(prompt, **kwargs).text
@staticmethod
def __poe_service(prompt: str, **kwargs) -> str:
return quora.Completion.create(prompt=prompt, **kwargs).text
@staticmethod
def __fore_front_service(prompt: str, **kwargs) -> str:
return forefront.Completion.create(prompt=prompt, **kwargs).text
@staticmethod
def __theb_service(prompt: str, **kwargs):
return "".join(theb.Completion.create(prompt=prompt))
@staticmethod
def __deepai_service(prompt: str, **kwargs):
return "".join(deepai.Completion.create(prompt=prompt))
class ChatCompletion:
"""This class is used to execute a chat completion for a specified provider"""
@staticmethod
def create(provider: Provider, messages: list, **kwargs) -> str:
"""
Invokes the given provider with given chat messages and addition arguments and returns the string response
:param provider: an enum representing the provider to use while invoking
:param messages: a list of chat messages, see the OpenAI docs for how to format this (https://platform.openai.com/docs/guides/chat/introduction)
:param kwargs: Additional keyword arguments to pass to the provider while invoking
:return: A string representing the response from the provider
"""
if provider == Provider.DeepAI:
return ChatCompletion.__deepai_service(messages, **kwargs)
else:
raise Exception("Provider not exist, Please try again")
@staticmethod
def __deepai_service(messages: list, **kwargs):
return "".join(deepai.ChatCompletion.create(messages=messages))

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@ -1,19 +0,0 @@
aiassist.site
### Example: `aiassist` <a name="example-assist"></a>
```python
import aiassist
question1 = "Who won the world series in 2020?"
req = aiassist.Completion.create(prompt=question1)
answer = req["text"]
message_id = req["parentMessageId"]
question2 = "Where was it played?"
req2 = aiassist.Completion.create(prompt=question2, parentMessageId=message_id)
answer2 = req2["text"]
print(answer)
print(answer2)
```

View File

@ -1,36 +0,0 @@
import urllib.request
import json
class Completion:
@staticmethod
def create(
systemMessage: str = "You are a helpful assistant",
prompt: str = "",
parentMessageId: str = "",
temperature: float = 0.8,
top_p: float = 1,
):
json_data = {
"prompt": prompt,
"options": {"parentMessageId": parentMessageId},
"systemMessage": systemMessage,
"temperature": temperature,
"top_p": top_p,
}
url = "http://43.153.7.56:8080/api/chat-process"
headers = {"Content-type": "application/json"}
data = json.dumps(json_data).encode("utf-8")
req = urllib.request.Request(url, data=data, headers=headers)
response = urllib.request.urlopen(req)
content = response.read().decode()
return Completion.__load_json(content)
@classmethod
def __load_json(cls, content) -> dict:
split = content.rsplit("\n", 1)[1]
to_json = json.loads(split)
return to_json

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@ -1,30 +0,0 @@
import fake_useragent
import requests
import json
from .typings import AiColorsResponse
class Completion:
@staticmethod
def create(
query: str = "",
) -> AiColorsResponse:
headers = {
"authority": "jsuifmbqefnxytqwmaoy.functions.supabase.co",
"accept": "*/*",
"accept-language": "en-US,en;q=0.5",
"cache-control": "no-cache",
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"user-agent": fake_useragent.UserAgent().random,
}
json_data = {"query": query}
url = "https://jsuifmbqefnxytqwmaoy.functions.supabase.co/chatgpt"
request = requests.post(url, headers=headers, json=json_data, timeout=30)
data = request.json().get("text").get("content")
json_data = json.loads(data.replace("\n ", ""))
return AiColorsResponse(**json_data)

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@ -1,9 +0,0 @@
from dataclasses import dataclass
@dataclass
class AiColorsResponse:
background: str
primary: str
accent: str
text: str

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@ -1,26 +0,0 @@
# DeepAI Wrapper
Written by [ading2210](https://github.com/ading2210/).
## Examples:
These functions are generators which yield strings containing the newly generated text.
### Completion:
```python
for chunk in deepai.Completion.create("Who are you?"):
print(chunk, end="", flush=True)
print()
```
### Chat Completion:
Use the same format for the messages as you would for the [official OpenAI API](https://platform.openai.com/docs/guides/chat/introduction).
```python
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"},
{"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
{"role": "user", "content": "Where was it played?"}
]
for chunk in deepai.ChatCompletion.create(messages):
print(chunk, end="", flush=True)
print()
```

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@ -1,46 +0,0 @@
import requests
import json
import hashlib
import random
import string
from fake_useragent import UserAgent
class ChatCompletion:
@classmethod
def md5(self, text):
return hashlib.md5(text.encode()).hexdigest()[::-1]
@classmethod
def get_api_key(self, user_agent):
part1 = str(random.randint(0, 10**11))
part2 = self.md5(user_agent+self.md5(user_agent+self.md5(user_agent+part1+"x")))
return f"tryit-{part1}-{part2}"
@classmethod
def create(self, messages):
user_agent = UserAgent().random
api_key = self.get_api_key(user_agent)
headers = {
"api-key": api_key,
"user-agent": user_agent
}
files = {
"chat_style": (None, "chat"),
"chatHistory": (None, json.dumps(messages))
}
r = requests.post("https://api.deepai.org/chat_response", headers=headers, files=files, stream=True)
for chunk in r.iter_content(chunk_size=None):
r.raise_for_status()
yield chunk.decode()
class Completion:
@classmethod
def create(self, prompt):
return ChatCompletion.create([
{
"role": "user",
"content": prompt
}
])

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@ -1,19 +0,0 @@
### Example: `forefront` (use like openai pypi package) <a name="example-forefront"></a>
```python
from gpt4free import forefront
# create an account
account_data = forefront.Account.create(logging=False)
# get a response
for response in forefront.StreamingCompletion.create(
account_data=account_data,
prompt='hello world',
model='gpt-4'
):
print(response.choices[0].text, end='')
print("")
```

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@ -1,214 +0,0 @@
import hashlib
from base64 import b64encode
from json import loads
from re import findall
from time import time, sleep
from typing import Generator, Optional
from uuid import uuid4
from Crypto.Cipher import AES
from Crypto.Random import get_random_bytes
from fake_useragent import UserAgent
from mailgw_temporary_email import Email
from requests import post
from tls_client import Session
from .typing import ForeFrontResponse, AccountData
class Account:
@staticmethod
def create(proxy: Optional[str] = None, logging: bool = False) -> AccountData:
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False
start = time()
mail_client = Email()
mail_client.register()
mail_address = mail_client.address
client = Session(client_identifier='chrome110')
client.proxies = proxies
client.headers = {
'origin': 'https://accounts.forefront.ai',
'user-agent': UserAgent().random,
}
response = client.post(
'https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.38.4',
data={'email_address': mail_address},
)
try:
trace_token = response.json()['response']['id']
if logging:
print(trace_token)
except KeyError:
raise RuntimeError('Failed to create account!')
response = client.post(
f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.38.4',
data={
'strategy': 'email_link',
'redirect_url': 'https://accounts.forefront.ai/sign-up/verify'
},
)
if logging:
print(response.text)
if 'sign_up_attempt' not in response.text:
raise RuntimeError('Failed to create account!')
while True:
sleep(5)
message_id = mail_client.message_list()[0]['id']
message = mail_client.message(message_id)
verification_url = findall(r'https:\/\/clerk\.forefront\.ai\/v1\/verify\?token=\w.+', message["text"])[0]
if verification_url:
break
if logging:
print(verification_url)
client.get(verification_url)
response = client.get('https://clerk.forefront.ai/v1/client?_clerk_js_version=4.38.4').json()
session_data = response['response']['sessions'][0]
user_id = session_data['user']['id']
session_id = session_data['id']
token = session_data['last_active_token']['jwt']
with open('accounts.txt', 'a') as f:
f.write(f'{mail_address}:{token}\n')
if logging:
print(time() - start)
return AccountData(token=token, user_id=user_id, session_id=session_id)
class StreamingCompletion:
@staticmethod
def create(
prompt: str,
account_data: AccountData,
chat_id=None,
action_type='new',
default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
model='gpt-4',
proxy=None
) -> Generator[ForeFrontResponse, None, None]:
token = account_data.token
if not chat_id:
chat_id = str(uuid4())
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else None
base64_data = b64encode((account_data.user_id + default_persona + chat_id).encode()).decode()
encrypted_signature = StreamingCompletion.__encrypt(base64_data, account_data.session_id)
headers = {
'authority': 'chat-server.tenant-forefront-default.knative.chi.coreweave.com',
'accept': '*/*',
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
'cache-control': 'no-cache',
'content-type': 'application/json',
'origin': 'https://chat.forefront.ai',
'pragma': 'no-cache',
'referer': 'https://chat.forefront.ai/',
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'cross-site',
'authorization': f"Bearer {token}",
'X-Signature': encrypted_signature,
'user-agent': UserAgent().random,
}
json_data = {
'text': prompt,
'action': action_type,
'parentId': chat_id,
'workspaceId': chat_id,
'messagePersona': default_persona,
'model': model,
}
for chunk in post(
'https://streaming.tenant-forefront-default.knative.chi.coreweave.com/chat',
headers=headers,
proxies=proxies,
json=json_data,
stream=True,
).iter_lines():
if b'finish_reason":null' in chunk:
data = loads(chunk.decode('utf-8').split('data: ')[1])
token = data['choices'][0]['delta'].get('content')
if token is not None:
yield ForeFrontResponse(
**{
'id': chat_id,
'object': 'text_completion',
'created': int(time()),
'text': token,
'model': model,
'choices': [{'text': token, 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}],
'usage': {
'prompt_tokens': len(prompt),
'completion_tokens': len(token),
'total_tokens': len(prompt) + len(token),
},
}
)
@staticmethod
def __encrypt(data: str, key: str) -> str:
hash_key = hashlib.sha256(key.encode()).digest()
iv = get_random_bytes(16)
cipher = AES.new(hash_key, AES.MODE_CBC, iv)
encrypted_data = cipher.encrypt(StreamingCompletion.__pad_data(data.encode()))
return iv.hex() + encrypted_data.hex()
@staticmethod
def __pad_data(data: bytes) -> bytes:
block_size = AES.block_size
padding_size = block_size - len(data) % block_size
padding = bytes([padding_size] * padding_size)
return data + padding
class Completion:
@staticmethod
def create(
prompt: str,
account_data: AccountData,
chat_id=None,
action_type='new',
default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
model='gpt-4',
proxy=None
) -> ForeFrontResponse:
text = ''
final_response = None
for response in StreamingCompletion.create(
account_data=account_data,
chat_id=chat_id,
prompt=prompt,
action_type=action_type,
default_persona=default_persona,
model=model,
proxy=proxy
):
if response:
final_response = response
text += response.text
if final_response:
final_response.text = text
else:
raise RuntimeError('Unable to get the response, Please try again')
return final_response

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@ -1,32 +0,0 @@
from typing import Any, List
from pydantic import BaseModel
class Choice(BaseModel):
text: str
index: int
logprobs: Any
finish_reason: str
class Usage(BaseModel):
prompt_tokens: int
completion_tokens: int
total_tokens: int
class ForeFrontResponse(BaseModel):
id: str
object: str
created: int
model: str
choices: List[Choice]
usage: Usage
text: str
class AccountData(BaseModel):
token: str
user_id: str
session_id: str

View File

@ -1,25 +0,0 @@
# gptworldAi
Written by [hp_mzx](https://github.com/hpsj).
## Examples:
### Completion:
```python
for chunk in gptworldAi.Completion.create("你是谁", "127.0.0.1:7890"):
print(chunk, end="", flush=True)
print()
```
### Chat Completion:
Support context
```python
message = []
while True:
prompt = input("请输入问题:")
message.append({"role": "user","content": prompt})
text = ""
for chunk in gptworldAi.ChatCompletion.create(message,'127.0.0.1:7890'):
text = text+chunk
print(chunk, end="", flush=True)
print()
message.append({"role": "assistant", "content": text})
```

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@ -1,105 +0,0 @@
# -*- coding: utf-8 -*-
"""
@Time 2023/5/23 13:37
@Auth Hp_mzx
@File __init__.py.py
@IDE PyCharm
"""
import json
import uuid
import random
import binascii
import requests
import Crypto.Cipher.AES as AES
from fake_useragent import UserAgent
class ChatCompletion:
@staticmethod
def create(messages:[],proxy: str = None):
url = "https://chat.getgpt.world/api/chat/stream"
headers = {
"Content-Type": "application/json",
"Referer": "https://chat.getgpt.world/",
'user-agent': UserAgent().random,
}
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else None
data = json.dumps({
"messages": messages,
"frequency_penalty": 0,
"max_tokens": 4000,
"model": "gpt-3.5-turbo",
"presence_penalty": 0,
"temperature": 1,
"top_p": 1,
"stream": True,
"uuid": str(uuid.uuid4())
})
signature = ChatCompletion.encrypt(data)
res = requests.post(url, headers=headers, data=json.dumps({"signature": signature}), proxies=proxies,stream=True)
for chunk in res.iter_content(chunk_size=None):
res.raise_for_status()
datas = chunk.decode('utf-8').split('data: ')
for data in datas:
if not data or "[DONE]" in data:
continue
data_json = json.loads(data)
content = data_json['choices'][0]['delta'].get('content')
if content:
yield content
@staticmethod
def random_token(e):
token = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789"
n = len(token)
return "".join([token[random.randint(0, n - 1)] for i in range(e)])
@staticmethod
def encrypt(e):
t = ChatCompletion.random_token(16).encode('utf-8')
n = ChatCompletion.random_token(16).encode('utf-8')
r = e.encode('utf-8')
cipher = AES.new(t, AES.MODE_CBC, n)
ciphertext = cipher.encrypt(ChatCompletion.__pad_data(r))
return binascii.hexlify(ciphertext).decode('utf-8') + t.decode('utf-8') + n.decode('utf-8')
@staticmethod
def __pad_data(data: bytes) -> bytes:
block_size = AES.block_size
padding_size = block_size - len(data) % block_size
padding = bytes([padding_size] * padding_size)
return data + padding
class Completion:
@staticmethod
def create(prompt:str,proxy:str=None):
return ChatCompletion.create([
{
"content": "You are ChatGPT, a large language model trained by OpenAI.\nCarefully heed the user's instructions. \nRespond using Markdown.",
"role": "system"
},
{"role": "user", "content": prompt}
], proxy)
if __name__ == '__main__':
# single completion
text = ""
for chunk in Completion.create("你是谁", "127.0.0.1:7890"):
text = text + chunk
print(chunk, end="", flush=True)
print()
#chat completion
message = []
while True:
prompt = input("请输入问题:")
message.append({"role": "user","content": prompt})
text = ""
for chunk in ChatCompletion.create(message,'127.0.0.1:7890'):
text = text+chunk
print(chunk, end="", flush=True)
print()
message.append({"role": "assistant", "content": text})

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@ -1,39 +0,0 @@
# HpgptAI
Written by [hp_mzx](https://github.com/hpsj).
## Examples:
### Completion:
```python
res = hpgptai.Completion.create("你是谁","127.0.0.1:7890")
print(res["reply"])
```
### Chat Completion:
Support context
```python
messages = [
{
"content": "你是谁",
"html": "你是谁",
"id": hpgptai.ChatCompletion.randomStr(),
"role": "user",
"who": "User: ",
},
{
"content": "我是一位AI助手专门为您提供各种服务和支持。我可以回答您的问题帮助您解决问题提供相关信息并执行一些任务。请随时告诉我您需要什么帮助。",
"html": "我是一位AI助手专门为您提供各种服务和支持。我可以回答您的问题帮助您解决问题提供相关信息并执行一些任务。请随时告诉我您需要什么帮助。",
"id": hpgptai.ChatCompletion.randomStr(),
"role": "assistant",
"who": "AI: ",
},
{
"content": "我上一句问的是什么?",
"html": "我上一句问的是什么?",
"id": hpgptai.ChatCompletion.randomStr(),
"role": "user",
"who": "User: ",
},
]
res = hpgptai.ChatCompletion.create(messages,proxy="127.0.0.1:7890")
print(res["reply"])
```

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@ -1,103 +0,0 @@
# -*- coding: utf-8 -*-
"""
@Time 2023/5/22 14:04
@Auth Hp_mzx
@File __init__.py.py
@IDE PyCharm
"""
import re
import json
import base64
import random
import string
import requests
from fake_useragent import UserAgent
class ChatCompletion:
@staticmethod
def create(
messages: list,
context: str = "Converse as if you were an AI assistant. Be friendly, creative.",
restNonce: str = None,
proxy: str = None
):
url = "https://chatgptlogin.ac/wp-json/ai-chatbot/v1/chat"
if not restNonce:
restNonce = ChatCompletion.get_restNonce(proxy)
headers = {
"Content-Type": "application/json",
"X-Wp-Nonce": restNonce
}
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else None
data = {
"env": "chatbot",
"session": "N/A",
"prompt": ChatCompletion.__build_prompt(context, messages),
"context": context,
"messages": messages,
"newMessage": messages[-1]["content"],
"userName": "<div class=\"mwai-name-text\">User:</div>",
"aiName": "<div class=\"mwai-name-text\">AI:</div>",
"model": "gpt-3.5-turbo",
"temperature": 0.8,
"maxTokens": 1024,
"maxResults": 1,
"apiKey": "",
"service": "openai",
"embeddingsIndex": "",
"stop": "",
"clientId": ChatCompletion.randomStr(),
}
res = requests.post(url=url, data=json.dumps(data), headers=headers, proxies=proxies)
if res.status_code == 200:
return res.json()
return res.text
@staticmethod
def randomStr():
return ''.join(random.choices(string.ascii_lowercase + string.digits, k=34))[:11]
@classmethod
def __build_prompt(cls, context: str, message: list, isCasuallyFineTuned=False, last=15):
prompt = context + '\n\n' if context else ''
message = message[-last:]
if isCasuallyFineTuned:
lastLine = message[-1]
prompt = lastLine.content + ""
return prompt
conversation = [x["who"] + x["content"] for x in message]
prompt += '\n'.join(conversation)
prompt += '\n' + "AI: "
return prompt
@classmethod
def get_restNonce(cls, proxy: str = None):
url = "https://chatgptlogin.ac/"
headers = {
"Referer": "https://chatgptlogin.ac/",
"User-Agent": UserAgent().random
}
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else None
res = requests.get(url, headers=headers, proxies=proxies)
src = re.search(
'class="mwai-chat mwai-chatgpt">.*<span>Send</span></button></div></div></div> <script defer src="(.*?)">',
res.text).group(1)
decoded_string = base64.b64decode(src.split(",")[-1]).decode('utf-8')
restNonce = re.search(r"let restNonce = '(.*?)';", decoded_string).group(1)
return restNonce
class Completion:
@staticmethod
def create(prompt: str, proxy: str):
messages = [
{
"content": prompt,
"html": prompt,
"id": ChatCompletion.randomStr(),
"role": "user",
"who": "User: ",
},
]
return ChatCompletion.create(messages=messages, proxy=proxy)

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@ -1,29 +0,0 @@
# Itagpt2(Rewrite)
Written by [sife-shuo](https://github.com/sife-shuo/).
## Description
Unlike gpt4free. italygpt in the pypi package, italygpt2 supports stream calls and has changed the request sending method to enable continuous and logical conversations.
The speed will increase when calling the conversation multiple times.
### Completion:
```python
account_data=italygpt2.Account.create()
for chunk in italygpt2.Completion.create(account_data=account_data,prompt="Who are you?"):
print(chunk, end="", flush=True)
print()
```
### Chat
Like most chatgpt projects, format is supported.
Use the same format for the messages as you would for the [official OpenAI API](https://platform.openai.com/docs/guides/chat/introduction).
```python
messages = [
{"role": "system", "content": ""},#...
{"role": "user", "content": ""}#....
]
account_data=italygpt2.Account.create()
for chunk in italygpt2.Completion.create(account_data=account_data,prompt="Who are you?",message=messages):
print(chunk, end="", flush=True)
print()
```

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@ -1,70 +0,0 @@
import re
import requests
import hashlib
from fake_useragent import UserAgent
class Account:
@staticmethod
def create():
r=requests.get("https://italygpt.it/",headers=Account._header)
f=r.text
tid=re.search('<input type=\"hidden\" name=\"next_id\" id=\"next_id\" value=\"(\w+)\">',f).group(1)
if len(tid)==0:
raise RuntimeError("NetWorkError:failed to get id.")
else:
Account._tid=tid
Account._raw="[]"
return Account
def next(next_id:str)->str:
Account._tid=next_id
return Account._tid
def get()->str:
return Account._tid
_header={
"Host": "italygpt.it",
"Referer":"https://italygpt.it/",
"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36",#UserAgent().random,
"Accept":"text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
"Accept-Language":"zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2",
"Upgrade-Insecure-Requests":"1",
"Sec-Fetch-Dest":"document",
"Sec-Fetch-Mode":"navigate",
"Sec-Fetch-Site":"none",
"Sec-Fetch-User":"?1",
"Connection":"keep-alive",
"Alt-Used":"italygpt.it",
"Pragma":"no-cache",
"Cache-Control":"no-cache",
"TE": "trailers"
}
def settraw(raws:str):
Account._raw=raws
return Account._raw
def gettraw():
return Account._raw
class Completion:
@staticmethod
def create(
account_data,
prompt: str,
message=False
):
param={
"prompt":prompt.replace(" ","+"),
"creative":"off",
"internet":"false",
"detailed":"off",
"current_id":"0",
"code":"",
"gpt4":"false",
"raw_messages":account_data.gettraw(),
"hash":hashlib.sha256(account_data.get().encode()).hexdigest()
}
if(message):
param["raw_messages"]=str(message)
r = requests.get("https://italygpt.it/question",headers=account_data._header,params=param,stream=True)
account_data.next(r.headers["Next_id"])
account_data.settraw(r.headers["Raw_messages"])
for chunk in r.iter_content(chunk_size=None):
r.raise_for_status()
yield chunk.decode()

View File

@ -1,77 +0,0 @@
> ⚠ Warning !!!
poe.com added security and can detect if you are making automated requests. You may get your account banned if you are using this api.
The normal non-driver api is also currently not very stable
### Example: `quora (poe)` (use like openai pypi package) - GPT-4 <a name="example-poe"></a>
```python
# quora model names: (use left key as argument)
models = {
'sage' : 'capybara',
'gpt-4' : 'beaver',
'claude-v1.2' : 'a2_2',
'claude-instant-v1.0' : 'a2',
'gpt-3.5-turbo' : 'chinchilla'
}
```
### New: bot creation
```python
# import quora (poe) package
from gpt4free import quora
# create account
# make sure to set enable_bot_creation to True
token = quora.Account.create(logging=True, enable_bot_creation=True)
model = quora.Model.create(
token=token,
model='gpt-3.5-turbo', # or claude-instant-v1.0
system_prompt='you are ChatGPT a large language model ...'
)
print(model.name) # gptx....
# streaming response
for response in quora.StreamingCompletion.create(
custom_model=model.name,
prompt='hello world',
token=token):
print(response.completion.choices[0].text)
```
### Normal Response:
```python
response = quora.Completion.create(model = 'gpt-4',
prompt = 'hello world',
token = token)
print(response.completion.choices[0].text)
```
### Update Use This For Poe
```python
from gpt4free.quora import Poe
# available models: ['Sage', 'GPT-4', 'Claude+', 'Claude-instant', 'ChatGPT', 'Dragonfly', 'NeevaAI']
poe = Poe(model='ChatGPT', driver='firefox', cookie_path='cookie.json', driver_path='path_of_driver')
poe.chat('who won the football world cup most?')
# new bot creation
poe.create_bot('new_bot_name', prompt='You are new test bot', base_model='gpt-3.5-turbo')
# delete account
poe.delete_account()
```
### Deleting the Poe Account
```python
from gpt4free import quora
quora.Account.delete(token='')
```

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@ -1,478 +0,0 @@
import json
from datetime import datetime
from hashlib import md5
from json import dumps
from pathlib import Path
from random import choice, choices, randint
from re import search, findall
from string import ascii_letters, digits
from typing import Optional, Union, List, Any, Generator
from urllib.parse import unquote
import selenium.webdriver.support.expected_conditions as EC
from fake_useragent import UserAgent
from pydantic import BaseModel
from pypasser import reCaptchaV3
from requests import Session
from selenium.webdriver import Firefox, Chrome, FirefoxOptions, ChromeOptions
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from tls_client import Session as TLS
from .api import Client as PoeClient
from .mail import Emailnator
SELENIUM_WEB_DRIVER_ERROR_MSG = b'''The error message you are receiving is due to the `geckodriver` executable not
being found in your system\'s PATH. To resolve this issue, you need to download the geckodriver and add its location
to your system\'s PATH.\n\nHere are the steps to resolve the issue:\n\n1. Download the geckodriver for your platform
(Windows, macOS, or Linux) from the following link: https://github.com/mozilla/geckodriver/releases\n\n2. Extract the
downloaded archive and locate the geckodriver executable.\n\n3. Add the geckodriver executable to your system\'s
PATH.\n\nFor macOS and Linux:\n\n- Open a terminal window.\n- Move the geckodriver executable to a directory that is
already in your PATH, or create a new directory and add it to your PATH:\n\n```bash\n# Example: Move geckodriver to
/usr/local/bin\nmv /path/to/your/geckodriver /usr/local/bin\n```\n\n- If you created a new directory, add it to your
PATH:\n\n```bash\n# Example: Add a new directory to PATH\nexport PATH=$PATH:/path/to/your/directory\n```\n\nFor
Windows:\n\n- Right-click on "My Computer" or "This PC" and select "Properties".\n- Click on "Advanced system
settings".\n- Click on the "Environment Variables" button.\n- In the "System variables" section, find the "Path"
variable, select it, and click "Edit".\n- Click "New" and add the path to the directory containing the geckodriver
executable.\n\nAfter adding the geckodriver to your PATH, restart your terminal or command prompt and try running
your script again. The error should be resolved.'''
# from twocaptcha import TwoCaptcha
# solver = TwoCaptcha('72747bf24a9d89b4dcc1b24875efd358')
MODELS = {
'Sage': 'capybara',
'GPT-4': 'beaver',
'Claude+': 'a2_2',
'Claude-instant': 'a2',
'ChatGPT': 'chinchilla',
'Dragonfly': 'nutria',
'NeevaAI': 'hutia',
}
def extract_formkey(html):
script_regex = r'<script>if\(.+\)throw new Error;(.+)</script>'
script_text = search(script_regex, html).group(1)
key_regex = r'var .="([0-9a-f]+)",'
key_text = search(key_regex, script_text).group(1)
cipher_regex = r'.\[(\d+)\]=.\[(\d+)\]'
cipher_pairs = findall(cipher_regex, script_text)
formkey_list = [''] * len(cipher_pairs)
for pair in cipher_pairs:
formkey_index, key_index = map(int, pair)
formkey_list[formkey_index] = key_text[key_index]
formkey = ''.join(formkey_list)
return formkey
class Choice(BaseModel):
text: str
index: int
logprobs: Any
finish_reason: str
class Usage(BaseModel):
prompt_tokens: int
completion_tokens: int
total_tokens: int
class PoeResponse(BaseModel):
id: int
object: str
created: int
model: str
choices: List[Choice]
usage: Usage
text: str
class ModelResponse:
def __init__(self, json_response: dict) -> None:
self.id = json_response['data']['poeBotCreate']['bot']['id']
self.name = json_response['data']['poeBotCreate']['bot']['displayName']
self.limit = json_response['data']['poeBotCreate']['bot']['messageLimit']['dailyLimit']
self.deleted = json_response['data']['poeBotCreate']['bot']['deletionState']
class Model:
@staticmethod
def create(
token: str,
model: str = 'gpt-3.5-turbo', # claude-instant
system_prompt: str = 'You are ChatGPT a large language model. Answer as consisely as possible',
description: str = 'gpt-3.5 language model',
handle: str = None,
) -> ModelResponse:
if not handle:
handle = f'gptx{randint(1111111, 9999999)}'
client = Session()
client.cookies['p-b'] = token
formkey = extract_formkey(client.get('https://poe.com').text)
settings = client.get('https://poe.com/api/settings').json()
client.headers = {
'host': 'poe.com',
'origin': 'https://poe.com',
'referer': 'https://poe.com/',
'poe-formkey': formkey,
'poe-tchannel': settings['tchannelData']['channel'],
'user-agent': UserAgent().random,
'connection': 'keep-alive',
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
'content-type': 'application/json',
'sec-fetch-site': 'same-origin',
'sec-fetch-mode': 'cors',
'sec-fetch-dest': 'empty',
'accept': '*/*',
'accept-encoding': 'gzip, deflate, br',
'accept-language': 'en-GB,en-US;q=0.9,en;q=0.8',
}
payload = dumps(
separators=(',', ':'),
obj={
'queryName': 'CreateBotMain_poeBotCreate_Mutation',
'variables': {
'model': MODELS[model],
'handle': handle,
'prompt': system_prompt,
'isPromptPublic': True,
'introduction': '',
'description': description,
'profilePictureUrl': 'https://qph.fs.quoracdn.net/main-qimg-24e0b480dcd946e1cc6728802c5128b6',
'apiUrl': None,
'apiKey': ''.join(choices(ascii_letters + digits, k=32)),
'isApiBot': False,
'hasLinkification': False,
'hasMarkdownRendering': False,
'hasSuggestedReplies': False,
'isPrivateBot': False,
},
'query': 'mutation CreateBotMain_poeBotCreate_Mutation(\n $model: String!\n $handle: String!\n $prompt: String!\n $isPromptPublic: Boolean!\n $introduction: String!\n $description: String!\n $profilePictureUrl: String\n $apiUrl: String\n $apiKey: String\n $isApiBot: Boolean\n $hasLinkification: Boolean\n $hasMarkdownRendering: Boolean\n $hasSuggestedReplies: Boolean\n $isPrivateBot: Boolean\n) {\n poeBotCreate(model: $model, handle: $handle, promptPlaintext: $prompt, isPromptPublic: $isPromptPublic, introduction: $introduction, description: $description, profilePicture: $profilePictureUrl, apiUrl: $apiUrl, apiKey: $apiKey, isApiBot: $isApiBot, hasLinkification: $hasLinkification, hasMarkdownRendering: $hasMarkdownRendering, hasSuggestedReplies: $hasSuggestedReplies, isPrivateBot: $isPrivateBot) {\n status\n bot {\n id\n ...BotHeader_bot\n }\n }\n}\n\nfragment BotHeader_bot on Bot {\n displayName\n messageLimit {\n dailyLimit\n }\n ...BotImage_bot\n ...BotLink_bot\n ...IdAnnotation_node\n ...botHelpers_useViewerCanAccessPrivateBot\n ...botHelpers_useDeletion_bot\n}\n\nfragment BotImage_bot on Bot {\n displayName\n ...botHelpers_useDeletion_bot\n ...BotImage_useProfileImage_bot\n}\n\nfragment BotImage_useProfileImage_bot on Bot {\n image {\n __typename\n ... on LocalBotImage {\n localName\n }\n ... on UrlBotImage {\n url\n }\n }\n ...botHelpers_useDeletion_bot\n}\n\nfragment BotLink_bot on Bot {\n displayName\n}\n\nfragment IdAnnotation_node on Node {\n __isNode: __typename\n id\n}\n\nfragment botHelpers_useDeletion_bot on Bot {\n deletionState\n}\n\nfragment botHelpers_useViewerCanAccessPrivateBot on Bot {\n isPrivateBot\n viewerIsCreator\n}\n',
},
)
base_string = payload + client.headers['poe-formkey'] + 'WpuLMiXEKKE98j56k'
client.headers['poe-tag-id'] = md5(base_string.encode()).hexdigest()
response = client.post('https://poe.com/api/gql_POST', data=payload)
if 'success' not in response.text:
raise Exception(
'''
Bot creation Failed
!! Important !!
Bot creation was not enabled on this account
please use: quora.Account.create with enable_bot_creation set to True
'''
)
return ModelResponse(response.json())
class Account:
@staticmethod
def create(
proxy: Optional[str] = None,
logging: bool = False,
enable_bot_creation: bool = False,
):
client = TLS(client_identifier='chrome110')
client.proxies = {'http': f'http://{proxy}', 'https': f'http://{proxy}'} if proxy else {}
mail_client = Emailnator()
mail_address = mail_client.get_mail()
if logging:
print('email', mail_address)
client.headers = {
'authority': 'poe.com',
'accept': '*/*',
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
'content-type': 'application/json',
'origin': 'https://poe.com',
'poe-tag-id': 'null',
'referer': 'https://poe.com/login',
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
'poe-formkey': extract_formkey(client.get('https://poe.com/login').text),
'poe-tchannel': client.get('https://poe.com/api/settings').json()['tchannelData']['channel'],
}
token = reCaptchaV3(
'https://www.recaptcha.net/recaptcha/enterprise/anchor?ar=1&k=6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG&co=aHR0cHM6Ly9wb2UuY29tOjQ0Mw..&hl=en&v=4PnKmGB9wRHh1i04o7YUICeI&size=invisible&cb=bi6ivxoskyal'
)
# token = solver.recaptcha(sitekey='6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG',
# url = 'https://poe.com/login?redirect_url=%2F',
# version = 'v3',
# enterprise = 1,
# invisible = 1,
# action = 'login',)['code']
payload = dumps(
separators=(',', ':'),
obj={
'queryName': 'MainSignupLoginSection_sendVerificationCodeMutation_Mutation',
'variables': {
'emailAddress': mail_address,
'phoneNumber': None,
'recaptchaToken': token,
},
'query': 'mutation MainSignupLoginSection_sendVerificationCodeMutation_Mutation(\n $emailAddress: String\n $phoneNumber: String\n $recaptchaToken: String\n) {\n sendVerificationCode(verificationReason: login, emailAddress: $emailAddress, phoneNumber: $phoneNumber, recaptchaToken: $recaptchaToken) {\n status\n errorMessage\n }\n}\n',
},
)
base_string = payload + client.headers['poe-formkey'] + 'WpuLMiXEKKE98j56k'
client.headers['poe-tag-id'] = md5(base_string.encode()).hexdigest()
print(dumps(client.headers, indent=4))
response = client.post('https://poe.com/api/gql_POST', data=payload)
if 'automated_request_detected' in response.text:
print('please try using a proxy / wait for fix')
if 'Bad Request' in response.text:
if logging:
print('bad request, retrying...', response.json())
quit()
if logging:
print('send_code', response.json())
mail_content = mail_client.get_message()
mail_token = findall(r';">(\d{6,7})</div>', mail_content)[0]
if logging:
print('code', mail_token)
payload = dumps(
separators=(',', ':'),
obj={
'queryName': 'SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation',
'variables': {
'verificationCode': str(mail_token),
'emailAddress': mail_address,
'phoneNumber': None,
},
'query': 'mutation SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation(\n $verificationCode: String!\n $emailAddress: String\n $phoneNumber: String\n) {\n signupWithVerificationCode(verificationCode: $verificationCode, emailAddress: $emailAddress, phoneNumber: $phoneNumber) {\n status\n errorMessage\n }\n}\n',
},
)
base_string = payload + client.headers['poe-formkey'] + 'WpuLMiXEKKE98j56k'
client.headers['poe-tag-id'] = md5(base_string.encode()).hexdigest()
response = client.post('https://poe.com/api/gql_POST', data=payload)
if logging:
print('verify_code', response.json())
def get(self):
cookies = open(Path(__file__).resolve().parent / 'cookies.txt', 'r').read().splitlines()
return choice(cookies)
@staticmethod
def delete(token: str, proxy: Optional[str] = None):
client = PoeClient(token, proxy=proxy)
client.delete_account()
class StreamingCompletion:
@staticmethod
def create(
model: str = 'gpt-4',
custom_model: bool = None,
prompt: str = 'hello world',
token: str = '',
proxy: Optional[str] = None,
) -> Generator[PoeResponse, None, None]:
_model = MODELS[model] if not custom_model else custom_model
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False
client = PoeClient(token)
client.proxy = proxies
for chunk in client.send_message(_model, prompt):
yield PoeResponse(
**{
'id': chunk['messageId'],
'object': 'text_completion',
'created': chunk['creationTime'],
'model': _model,
'text': chunk['text_new'],
'choices': [
{
'text': chunk['text_new'],
'index': 0,
'logprobs': None,
'finish_reason': 'stop',
}
],
'usage': {
'prompt_tokens': len(prompt),
'completion_tokens': len(chunk['text_new']),
'total_tokens': len(prompt) + len(chunk['text_new']),
},
}
)
class Completion:
@staticmethod
def create(
model: str = 'gpt-4',
custom_model: str = None,
prompt: str = 'hello world',
token: str = '',
proxy: Optional[str] = None,
) -> PoeResponse:
_model = MODELS[model] if not custom_model else custom_model
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False
client = PoeClient(token)
client.proxy = proxies
chunk = None
for response in client.send_message(_model, prompt):
chunk = response
return PoeResponse(
**{
'id': chunk['messageId'],
'object': 'text_completion',
'created': chunk['creationTime'],
'model': _model,
'text': chunk['text'],
'choices': [
{
'text': chunk['text'],
'index': 0,
'logprobs': None,
'finish_reason': 'stop',
}
],
'usage': {
'prompt_tokens': len(prompt),
'completion_tokens': len(chunk['text']),
'total_tokens': len(prompt) + len(chunk['text']),
},
}
)
class Poe:
def __init__(
self,
model: str = 'ChatGPT',
driver: str = 'firefox',
download_driver: bool = False,
driver_path: Optional[str] = None,
cookie_path: str = './quora/cookie.json',
):
# validating the model
if model and model not in MODELS:
raise RuntimeError('Sorry, the model you provided does not exist. Please check and try again.')
self.model = MODELS[model]
self.cookie_path = cookie_path
self.cookie = self.__load_cookie(driver, driver_path=driver_path)
self.client = PoeClient(self.cookie)
def __load_cookie(self, driver: str, driver_path: Optional[str] = None) -> str:
if (cookie_file := Path(self.cookie_path)).exists():
with cookie_file.open() as fp:
cookie = json.load(fp)
if datetime.fromtimestamp(cookie['expiry']) < datetime.now():
cookie = self.__register_and_get_cookie(driver, driver_path=driver_path)
else:
print('Loading the cookie from file')
else:
cookie = self.__register_and_get_cookie(driver, driver_path=driver_path)
return unquote(cookie['value'])
def __register_and_get_cookie(self, driver: str, driver_path: Optional[str] = None) -> dict:
mail_client = Emailnator()
mail_address = mail_client.get_mail()
driver = self.__resolve_driver(driver, driver_path=driver_path)
driver.get("https://www.poe.com")
# clicking use email button
driver.find_element(By.XPATH, '//button[contains(text(), "Use email")]').click()
email = WebDriverWait(driver, 30).until(EC.presence_of_element_located((By.XPATH, '//input[@type="email"]')))
email.send_keys(mail_address)
driver.find_element(By.XPATH, '//button[text()="Go"]').click()
code = findall(r';">(\d{6,7})</div>', mail_client.get_message())[0]
print(code)
verification_code = WebDriverWait(driver, 30).until(
EC.presence_of_element_located((By.XPATH, '//input[@placeholder="Code"]'))
)
verification_code.send_keys(code)
verify_button = EC.presence_of_element_located((By.XPATH, '//button[text()="Verify"]'))
login_button = EC.presence_of_element_located((By.XPATH, '//button[text()="Log In"]'))
WebDriverWait(driver, 30).until(EC.any_of(verify_button, login_button)).click()
cookie = driver.get_cookie('p-b')
with open(self.cookie_path, 'w') as fw:
json.dump(cookie, fw)
driver.close()
return cookie
@staticmethod
def __resolve_driver(driver: str, driver_path: Optional[str] = None) -> Union[Firefox, Chrome]:
options = FirefoxOptions() if driver == 'firefox' else ChromeOptions()
options.add_argument('-headless')
if driver_path:
options.binary_location = driver_path
try:
return Firefox(options=options) if driver == 'firefox' else Chrome(options=options)
except Exception:
raise Exception(SELENIUM_WEB_DRIVER_ERROR_MSG)
def chat(self, message: str, model: Optional[str] = None) -> str:
if model and model not in MODELS:
raise RuntimeError('Sorry, the model you provided does not exist. Please check and try again.')
model = MODELS[model] if model else self.model
response = None
for chunk in self.client.send_message(model, message):
response = chunk['text']
return response
def create_bot(self, name: str, /, prompt: str = '', base_model: str = 'ChatGPT', description: str = '') -> None:
if base_model not in MODELS:
raise RuntimeError('Sorry, the base_model you provided does not exist. Please check and try again.')
response = self.client.create_bot(
handle=name,
prompt=prompt,
base_model=MODELS[base_model],
description=description,
)
print(f'Successfully created bot with name: {response["bot"]["displayName"]}')
def list_bots(self) -> list:
return list(self.client.bot_names.values())
def delete_account(self) -> None:
self.client.delete_account()

View File

@ -1,558 +0,0 @@
# This file was taken from the repository poe-api https://github.com/ading2210/poe-api and is unmodified
# This file is licensed under the GNU GPL v3 and written by @ading2210
# license:
# ading2210/poe-api: a reverse engineered Python API wrapepr for Quora's Poe
# Copyright (C) 2023 ading2210
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
import hashlib
import json
import logging
import queue
import random
import re
import threading
import time
import traceback
from pathlib import Path
from urllib.parse import urlparse
import requests
import requests.adapters
import websocket
parent_path = Path(__file__).resolve().parent
queries_path = parent_path / "graphql"
queries = {}
logging.basicConfig()
logger = logging.getLogger()
user_agent = "Mozilla/5.0 (X11; Linux x86_64; rv:102.0) Gecko/20100101 Firefox/102.0"
def load_queries():
for path in queries_path.iterdir():
if path.suffix != ".graphql":
continue
with open(path) as f:
queries[path.stem] = f.read()
def generate_payload(query_name, variables):
return {"query": queries[query_name], "variables": variables}
def retry_request(method, *args, **kwargs):
"""Retry a request with 10 attempts by default, delay increases exponentially"""
max_attempts: int = kwargs.pop("max_attempts", 10)
delay = kwargs.pop("delay", 1)
url = args[0]
for attempt in range(1, max_attempts + 1):
try:
response = method(*args, **kwargs)
response.raise_for_status()
return response
except Exception as error:
logger.warning(
f"Attempt {attempt}/{max_attempts} failed with error: {error}. "
f"Retrying in {delay} seconds..."
)
time.sleep(delay)
delay *= 2
raise RuntimeError(f"Failed to download {url} after {max_attempts} attempts.")
class Client:
gql_url = "https://poe.com/api/gql_POST"
gql_recv_url = "https://poe.com/api/receive_POST"
home_url = "https://poe.com"
settings_url = "https://poe.com/api/settings"
def __init__(self, token, proxy=None):
self.proxy = proxy
self.session = requests.Session()
self.adapter = requests.adapters.HTTPAdapter(pool_connections=100, pool_maxsize=100)
self.session.mount("http://", self.adapter)
self.session.mount("https://", self.adapter)
if proxy:
self.session.proxies = {"http": self.proxy, "https": self.proxy}
logger.info(f"Proxy enabled: {self.proxy}")
self.active_messages = {}
self.message_queues = {}
self.session.cookies.set("p-b", token, domain="poe.com")
self.headers = {
"User-Agent": user_agent,
"Referrer": "https://poe.com/",
"Origin": "https://poe.com",
}
self.session.headers.update(self.headers)
self.setup_connection()
self.connect_ws()
def setup_connection(self):
self.ws_domain = f"tch{random.randint(1, 1e6)}"
self.next_data = self.get_next_data(overwrite_vars=True)
self.channel = self.get_channel_data()
self.bots = self.get_bots(download_next_data=False)
self.bot_names = self.get_bot_names()
self.gql_headers = {
"poe-formkey": self.formkey,
"poe-tchannel": self.channel["channel"],
}
self.gql_headers = {**self.gql_headers, **self.headers}
self.subscribe()
def extract_formkey(self, html):
script_regex = r"<script>if\(.+\)throw new Error;(.+)</script>"
script_text = re.search(script_regex, html).group(1)
key_regex = r'var .="([0-9a-f]+)",'
key_text = re.search(key_regex, script_text).group(1)
cipher_regex = r".\[(\d+)\]=.\[(\d+)\]"
cipher_pairs = re.findall(cipher_regex, script_text)
formkey_list = [""] * len(cipher_pairs)
for pair in cipher_pairs:
formkey_index, key_index = map(int, pair)
formkey_list[formkey_index] = key_text[key_index]
formkey = "".join(formkey_list)
return formkey
def get_next_data(self, overwrite_vars=False):
logger.info("Downloading next_data...")
r = retry_request(self.session.get, self.home_url)
json_regex = r'<script id="__NEXT_DATA__" type="application\/json">(.+?)</script>'
json_text = re.search(json_regex, r.text).group(1)
next_data = json.loads(json_text)
if overwrite_vars:
self.formkey = self.extract_formkey(r.text)
self.viewer = next_data["props"]["pageProps"]["payload"]["viewer"]
self.next_data = next_data
return next_data
def get_bot(self, display_name):
url = f'https://poe.com/_next/data/{self.next_data["buildId"]}/{display_name}.json'
r = retry_request(self.session.get, url)
chat_data = r.json()["pageProps"]["payload"]["chatOfBotDisplayName"]
return chat_data
def get_bots(self, download_next_data=True):
logger.info("Downloading all bots...")
if download_next_data:
next_data = self.get_next_data(overwrite_vars=True)
else:
next_data = self.next_data
if not "viewerBotList" in self.viewer:
raise RuntimeError("Invalid token or no bots are available.")
bot_list = self.viewer["viewerBotList"]
threads = []
bots = {}
def get_bot_thread(bot):
chat_data = self.get_bot(bot["displayName"])
bots[chat_data["defaultBotObject"]["nickname"]] = chat_data
for bot in bot_list:
thread = threading.Thread(target=get_bot_thread, args=(bot,), daemon=True)
threads.append(thread)
for thread in threads:
thread.start()
for thread in threads:
thread.join()
self.bots = bots
self.bot_names = self.get_bot_names()
return bots
def get_bot_names(self):
bot_names = {}
for bot_nickname in self.bots:
bot_obj = self.bots[bot_nickname]["defaultBotObject"]
bot_names[bot_nickname] = bot_obj["displayName"]
return bot_names
def get_remaining_messages(self, chatbot):
chat_data = self.get_bot(self.bot_names[chatbot])
return chat_data["defaultBotObject"]["messageLimit"]["numMessagesRemaining"]
def get_channel_data(self, channel=None):
logger.info("Downloading channel data...")
r = retry_request(self.session.get, self.settings_url)
data = r.json()
return data["tchannelData"]
def get_websocket_url(self, channel=None):
if channel is None:
channel = self.channel
query = f'?min_seq={channel["minSeq"]}&channel={channel["channel"]}&hash={channel["channelHash"]}'
return f'wss://{self.ws_domain}.tch.{channel["baseHost"]}/up/{channel["boxName"]}/updates' + query
def send_query(self, query_name, variables):
for i in range(20):
json_data = generate_payload(query_name, variables)
payload = json.dumps(json_data, separators=(",", ":"))
base_string = payload + self.gql_headers["poe-formkey"] + "WpuLMiXEKKE98j56k"
headers = {
"content-type": "application/json",
"poe-tag-id": hashlib.md5(base_string.encode()).hexdigest(),
}
headers = {**self.gql_headers, **headers}
r = retry_request(self.session.post, self.gql_url, data=payload, headers=headers)
data = r.json()
if data["data"] is None:
logger.warn(f'{query_name} returned an error: {data["errors"][0]["message"]} | Retrying ({i + 1}/20)')
time.sleep(2)
continue
return r.json()
raise RuntimeError(f"{query_name} failed too many times.")
def subscribe(self):
logger.info("Subscribing to mutations")
result = self.send_query(
"SubscriptionsMutation",
{
"subscriptions": [
{
"subscriptionName": "messageAdded",
"query": queries["MessageAddedSubscription"],
},
{
"subscriptionName": "viewerStateUpdated",
"query": queries["ViewerStateUpdatedSubscription"],
},
]
},
)
def ws_run_thread(self):
kwargs = {}
if self.proxy:
proxy_parsed = urlparse(self.proxy)
kwargs = {
"proxy_type": proxy_parsed.scheme,
"http_proxy_host": proxy_parsed.hostname,
"http_proxy_port": proxy_parsed.port,
}
self.ws.run_forever(**kwargs)
def connect_ws(self):
self.ws_connected = False
self.ws = websocket.WebSocketApp(
self.get_websocket_url(),
header={"User-Agent": user_agent},
on_message=self.on_message,
on_open=self.on_ws_connect,
on_error=self.on_ws_error,
on_close=self.on_ws_close,
)
t = threading.Thread(target=self.ws_run_thread, daemon=True)
t.start()
while not self.ws_connected:
time.sleep(0.01)
def disconnect_ws(self):
if self.ws:
self.ws.close()
self.ws_connected = False
def on_ws_connect(self, ws):
self.ws_connected = True
def on_ws_close(self, ws, close_status_code, close_message):
self.ws_connected = False
logger.warn(f"Websocket closed with status {close_status_code}: {close_message}")
def on_ws_error(self, ws, error):
self.disconnect_ws()
self.connect_ws()
def on_message(self, ws, msg):
try:
data = json.loads(msg)
if not "messages" in data:
return
for message_str in data["messages"]:
message_data = json.loads(message_str)
if message_data["message_type"] != "subscriptionUpdate":
continue
message = message_data["payload"]["data"]["messageAdded"]
copied_dict = self.active_messages.copy()
for key, value in copied_dict.items():
# add the message to the appropriate queue
if value == message["messageId"] and key in self.message_queues:
self.message_queues[key].put(message)
return
# indicate that the response id is tied to the human message id
elif key != "pending" and value is None and message["state"] != "complete":
self.active_messages[key] = message["messageId"]
self.message_queues[key].put(message)
return
except Exception:
logger.error(traceback.format_exc())
self.disconnect_ws()
self.connect_ws()
def send_message(self, chatbot, message, with_chat_break=False, timeout=20):
# if there is another active message, wait until it has finished sending
while None in self.active_messages.values():
time.sleep(0.01)
# None indicates that a message is still in progress
self.active_messages["pending"] = None
logger.info(f"Sending message to {chatbot}: {message}")
# reconnect websocket
if not self.ws_connected:
self.disconnect_ws()
self.setup_connection()
self.connect_ws()
message_data = self.send_query(
"SendMessageMutation",
{
"bot": chatbot,
"query": message,
"chatId": self.bots[chatbot]["chatId"],
"source": None,
"withChatBreak": with_chat_break,
},
)
del self.active_messages["pending"]
if not message_data["data"]["messageEdgeCreate"]["message"]:
raise RuntimeError(f"Daily limit reached for {chatbot}.")
try:
human_message = message_data["data"]["messageEdgeCreate"]["message"]
human_message_id = human_message["node"]["messageId"]
except TypeError:
raise RuntimeError(f"An unknown error occurred. Raw response data: {message_data}")
# indicate that the current message is waiting for a response
self.active_messages[human_message_id] = None
self.message_queues[human_message_id] = queue.Queue()
last_text = ""
message_id = None
while True:
try:
message = self.message_queues[human_message_id].get(timeout=timeout)
except queue.Empty:
del self.active_messages[human_message_id]
del self.message_queues[human_message_id]
raise RuntimeError("Response timed out.")
# only break when the message is marked as complete
if message["state"] == "complete":
if last_text and message["messageId"] == message_id:
break
else:
continue
# update info about response
message["text_new"] = message["text"][len(last_text) :]
last_text = message["text"]
message_id = message["messageId"]
yield message
del self.active_messages[human_message_id]
del self.message_queues[human_message_id]
def send_chat_break(self, chatbot):
logger.info(f"Sending chat break to {chatbot}")
result = self.send_query("AddMessageBreakMutation", {"chatId": self.bots[chatbot]["chatId"]})
return result["data"]["messageBreakCreate"]["message"]
def get_message_history(self, chatbot, count=25, cursor=None):
logger.info(f"Downloading {count} messages from {chatbot}")
messages = []
if cursor is None:
chat_data = self.get_bot(self.bot_names[chatbot])
if not chat_data["messagesConnection"]["edges"]:
return []
messages = chat_data["messagesConnection"]["edges"][:count]
cursor = chat_data["messagesConnection"]["pageInfo"]["startCursor"]
count -= len(messages)
cursor = str(cursor)
if count > 50:
messages = self.get_message_history(chatbot, count=50, cursor=cursor) + messages
while count > 0:
count -= 50
new_cursor = messages[0]["cursor"]
new_messages = self.get_message_history(chatbot, min(50, count), cursor=new_cursor)
messages = new_messages + messages
return messages
elif count <= 0:
return messages
result = self.send_query(
"ChatListPaginationQuery",
{"count": count, "cursor": cursor, "id": self.bots[chatbot]["id"]},
)
query_messages = result["data"]["node"]["messagesConnection"]["edges"]
messages = query_messages + messages
return messages
def delete_message(self, message_ids):
logger.info(f"Deleting messages: {message_ids}")
if not type(message_ids) is list:
message_ids = [int(message_ids)]
result = self.send_query("DeleteMessageMutation", {"messageIds": message_ids})
def purge_conversation(self, chatbot, count=-1):
logger.info(f"Purging messages from {chatbot}")
last_messages = self.get_message_history(chatbot, count=50)[::-1]
while last_messages:
message_ids = []
for message in last_messages:
if count == 0:
break
count -= 1
message_ids.append(message["node"]["messageId"])
self.delete_message(message_ids)
if count == 0:
return
last_messages = self.get_message_history(chatbot, count=50)[::-1]
logger.info(f"No more messages left to delete.")
def create_bot(
self,
handle,
prompt="",
base_model="chinchilla",
description="",
intro_message="",
api_key=None,
api_bot=False,
api_url=None,
prompt_public=True,
pfp_url=None,
linkification=False,
markdown_rendering=True,
suggested_replies=False,
private=False,
):
result = self.send_query(
"PoeBotCreateMutation",
{
"model": base_model,
"handle": handle,
"prompt": prompt,
"isPromptPublic": prompt_public,
"introduction": intro_message,
"description": description,
"profilePictureUrl": pfp_url,
"apiUrl": api_url,
"apiKey": api_key,
"isApiBot": api_bot,
"hasLinkification": linkification,
"hasMarkdownRendering": markdown_rendering,
"hasSuggestedReplies": suggested_replies,
"isPrivateBot": private,
},
)
data = result["data"]["poeBotCreate"]
if data["status"] != "success":
raise RuntimeError(f"Poe returned an error while trying to create a bot: {data['status']}")
self.get_bots()
return data
def edit_bot(
self,
bot_id,
handle,
prompt="",
base_model="chinchilla",
description="",
intro_message="",
api_key=None,
api_url=None,
private=False,
prompt_public=True,
pfp_url=None,
linkification=False,
markdown_rendering=True,
suggested_replies=False,
):
result = self.send_query(
"PoeBotEditMutation",
{
"baseBot": base_model,
"botId": bot_id,
"handle": handle,
"prompt": prompt,
"isPromptPublic": prompt_public,
"introduction": intro_message,
"description": description,
"profilePictureUrl": pfp_url,
"apiUrl": api_url,
"apiKey": api_key,
"hasLinkification": linkification,
"hasMarkdownRendering": markdown_rendering,
"hasSuggestedReplies": suggested_replies,
"isPrivateBot": private,
},
)
data = result["data"]["poeBotEdit"]
if data["status"] != "success":
raise RuntimeError(f"Poe returned an error while trying to edit a bot: {data['status']}")
self.get_bots()
return data
def delete_account(self) -> None:
response = self.send_query('SettingsDeleteAccountButton_deleteAccountMutation_Mutation', {})
data = response['data']['deleteAccount']
if 'viewer' not in data:
raise RuntimeError(f'Error occurred while deleting the account, Please try again!')
load_queries()

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@ -1,45 +0,0 @@
from json import loads
from re import findall
from time import sleep
from requests import Session
class Mail:
def __init__(self) -> None:
self.client = Session()
self.client.post("https://etempmail.com/")
self.cookies = {'acceptcookie': 'true'}
self.cookies["ci_session"] = self.client.cookies.get_dict()["ci_session"]
self.email = None
def get_mail(self):
respone = self.client.post("https://etempmail.com/getEmailAddress")
# cookies
self.cookies["lisansimo"] = eval(respone.text)["recover_key"]
self.email = eval(respone.text)["address"]
return self.email
def get_message(self):
print("Waiting for message...")
while True:
sleep(5)
respone = self.client.post("https://etempmail.com/getInbox")
mail_token = loads(respone.text)
print(self.client.cookies.get_dict())
if len(mail_token) == 1:
break
params = {
'id': '1',
}
self.mail_context = self.client.post("https://etempmail.com/getInbox", params=params)
self.mail_context = eval(self.mail_context.text)[0]["body"]
return self.mail_context
# ,cookies=self.cookies
def get_verification_code(self):
message = self.mail_context
code = findall(r';">(\d{6,7})</div>', message)[0]
print(f"Verification code: {code}")
return code

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@ -1,30 +0,0 @@
SmPiNXZI9hBTuf3viz74PA==
zw7RoKQfeEehiaelYMRWeA==
NEttgJ_rRQdO05Tppx6hFw==
3OnmC0r9njYdNWhWszdQJg==
8hZKR7MxwUTEHvO45TEViw==
Eea6BqK0AmosTKzoI3AAow==
pUEbtxobN_QUSpLIR8RGww==
9_dUWxKkHHhpQRSvCvBk2Q==
UV45rvGwUwi2qV9QdIbMcw==
cVIN0pK1Wx-F7zCdUxlYqA==
UP2wQVds17VFHh6IfCQFrA==
18eKr0ME2Tzifdfqat38Aw==
FNgKEpc2r-XqWe0rHBfYpg==
juCAh6kB0sUpXHvKik2woA==
nBvuNYRLaE4xE4HuzBPiIQ==
oyae3iClomSrk6RJywZ4iw==
1Z27Ul8BTdNOhncT5H6wdg==
wfUfJIlwQwUss8l-3kDt3w==
f6Jw_Nr0PietpNCtOCXJTw==
6Jc3yCs7XhDRNHa4ZML09g==
3vy44sIy-ZlTMofFiFDttw==
p9FbMGGiK1rShKgL3YWkDg==
pw6LI5Op84lf4HOY7fn91A==
QemKm6aothMvqcEgeKFDlQ==
cceZzucA-CEHR0Gt6VLYLQ==
JRRObMp2RHVn5u4730DPvQ==
XNt0wLTjX7Z-EsRR3TJMIQ==
csjjirAUKtT5HT1KZUq1kg==
8qZdCatCPQZyS7jsO4hkdQ==
esnUxcBhvH1DmCJTeld0qw==

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@ -1,52 +0,0 @@
mutation AddHumanMessageMutation(
$chatId: BigInt!
$bot: String!
$query: String!
$source: MessageSource
$withChatBreak: Boolean! = false
) {
messageCreateWithStatus(
chatId: $chatId
bot: $bot
query: $query
source: $source
withChatBreak: $withChatBreak
) {
message {
id
__typename
messageId
text
linkifiedText
authorNickname
state
vote
voteReason
creationTime
suggestedReplies
chat {
id
shouldShowDisclaimer
}
}
messageLimit{
canSend
numMessagesRemaining
resetTime
shouldShowReminder
}
chatBreak {
id
__typename
messageId
text
linkifiedText
authorNickname
state
vote
voteReason
creationTime
suggestedReplies
}
}
}

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@ -1,17 +0,0 @@
mutation AddMessageBreakMutation($chatId: BigInt!) {
messageBreakCreate(chatId: $chatId) {
message {
id
__typename
messageId
text
linkifiedText
authorNickname
state
vote
voteReason
creationTime
suggestedReplies
}
}
}

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@ -1,7 +0,0 @@
mutation AutoSubscriptionMutation($subscriptions: [AutoSubscriptionQuery!]!) {
autoSubscribe(subscriptions: $subscriptions) {
viewer {
id
}
}
}

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@ -1,8 +0,0 @@
fragment BioFragment on Viewer {
id
poeUser {
id
uid
bio
}
}

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@ -1,5 +0,0 @@
subscription ChatAddedSubscription {
chatAdded {
...ChatFragment
}
}

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@ -1,6 +0,0 @@
fragment ChatFragment on Chat {
id
chatId
defaultBotNickname
shouldShowDisclaimer
}

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@ -1,378 +0,0 @@
query ChatListPaginationQuery(
$count: Int = 5
$cursor: String
$id: ID!
) {
node(id: $id) {
__typename
...ChatPageMain_chat_1G22uz
id
}
}
fragment BotImage_bot on Bot {
displayName
...botHelpers_useDeletion_bot
...BotImage_useProfileImage_bot
}
fragment BotImage_useProfileImage_bot on Bot {
image {
__typename
... on LocalBotImage {
localName
}
... on UrlBotImage {
url
}
}
...botHelpers_useDeletion_bot
}
fragment ChatMessageDownvotedButton_message on Message {
...MessageFeedbackReasonModal_message
...MessageFeedbackOtherModal_message
}
fragment ChatMessageDropdownMenu_message on Message {
id
messageId
vote
text
author
...chatHelpers_isBotMessage
}
fragment ChatMessageFeedbackButtons_message on Message {
id
messageId
vote
voteReason
...ChatMessageDownvotedButton_message
}
fragment ChatMessageInputView_chat on Chat {
id
chatId
defaultBotObject {
nickname
messageLimit {
dailyBalance
shouldShowRemainingMessageCount
}
hasClearContext
isDown
...botHelpers_useDeletion_bot
id
}
shouldShowDisclaimer
...chatHelpers_useSendMessage_chat
...chatHelpers_useSendChatBreak_chat
}
fragment ChatMessageInputView_edges on MessageEdge {
node {
...chatHelpers_isChatBreak
...chatHelpers_isHumanMessage
state
text
id
}
}
fragment ChatMessageOverflowButton_message on Message {
text
...ChatMessageDropdownMenu_message
...chatHelpers_isBotMessage
}
fragment ChatMessageSuggestedReplies_SuggestedReplyButton_chat on Chat {
...chatHelpers_useSendMessage_chat
}
fragment ChatMessageSuggestedReplies_SuggestedReplyButton_message on Message {
messageId
}
fragment ChatMessageSuggestedReplies_chat on Chat {
...ChatWelcomeView_chat
...ChatMessageSuggestedReplies_SuggestedReplyButton_chat
defaultBotObject {
hasWelcomeTopics
id
}
}
fragment ChatMessageSuggestedReplies_message on Message {
suggestedReplies
...ChatMessageSuggestedReplies_SuggestedReplyButton_message
}
fragment ChatMessage_chat on Chat {
defaultBotObject {
hasWelcomeTopics
hasSuggestedReplies
disclaimerText
messageLimit {
...ChatPageRateLimitedBanner_messageLimit
}
...ChatPageDisclaimer_bot
id
}
...ChatMessageSuggestedReplies_chat
...ChatWelcomeView_chat
}
fragment ChatMessage_message on Message {
id
messageId
text
author
linkifiedText
state
contentType
...ChatMessageSuggestedReplies_message
...ChatMessageFeedbackButtons_message
...ChatMessageOverflowButton_message
...chatHelpers_isHumanMessage
...chatHelpers_isBotMessage
...chatHelpers_isChatBreak
...chatHelpers_useTimeoutLevel
...MarkdownLinkInner_message
...IdAnnotation_node
}
fragment ChatMessagesView_chat on Chat {
...ChatMessage_chat
...ChatWelcomeView_chat
...IdAnnotation_node
defaultBotObject {
hasWelcomeTopics
messageLimit {
...ChatPageRateLimitedBanner_messageLimit
}
id
}
}
fragment ChatMessagesView_edges on MessageEdge {
node {
id
messageId
creationTime
...ChatMessage_message
...chatHelpers_isBotMessage
...chatHelpers_isHumanMessage
...chatHelpers_isChatBreak
}
}
fragment ChatPageDeleteFooter_chat on Chat {
...MessageDeleteConfirmationModal_chat
}
fragment ChatPageDisclaimer_bot on Bot {
disclaimerText
}
fragment ChatPageMainFooter_chat on Chat {
defaultBotObject {
...ChatPageMainFooter_useAccessMessage_bot
id
}
...ChatMessageInputView_chat
...ChatPageShareFooter_chat
...ChatPageDeleteFooter_chat
}
fragment ChatPageMainFooter_edges on MessageEdge {
...ChatMessageInputView_edges
}
fragment ChatPageMainFooter_useAccessMessage_bot on Bot {
...botHelpers_useDeletion_bot
...botHelpers_useViewerCanAccessPrivateBot
}
fragment ChatPageMain_chat_1G22uz on Chat {
id
chatId
...ChatPageShareFooter_chat
...ChatPageDeleteFooter_chat
...ChatMessagesView_chat
...MarkdownLinkInner_chat
...chatHelpers_useUpdateStaleChat_chat
...ChatSubscriptionPaywallContextWrapper_chat
...ChatPageMainFooter_chat
messagesConnection(last: $count, before: $cursor) {
edges {
...ChatMessagesView_edges
...ChatPageMainFooter_edges
...MarkdownLinkInner_edges
node {
...chatHelpers_useUpdateStaleChat_message
id
__typename
}
cursor
id
}
pageInfo {
hasPreviousPage
startCursor
}
id
}
}
fragment ChatPageRateLimitedBanner_messageLimit on MessageLimit {
numMessagesRemaining
}
fragment ChatPageShareFooter_chat on Chat {
chatId
}
fragment ChatSubscriptionPaywallContextWrapper_chat on Chat {
defaultBotObject {
messageLimit {
numMessagesRemaining
shouldShowRemainingMessageCount
}
...SubscriptionPaywallModal_bot
id
}
}
fragment ChatWelcomeView_ChatWelcomeButton_chat on Chat {
...chatHelpers_useSendMessage_chat
}
fragment ChatWelcomeView_chat on Chat {
...ChatWelcomeView_ChatWelcomeButton_chat
defaultBotObject {
displayName
id
}
}
fragment IdAnnotation_node on Node {
__isNode: __typename
id
}
fragment MarkdownLinkInner_chat on Chat {
id
chatId
defaultBotObject {
nickname
id
}
...chatHelpers_useSendMessage_chat
}
fragment MarkdownLinkInner_edges on MessageEdge {
node {
state
id
}
}
fragment MarkdownLinkInner_message on Message {
messageId
}
fragment MessageDeleteConfirmationModal_chat on Chat {
id
}
fragment MessageFeedbackOtherModal_message on Message {
id
messageId
}
fragment MessageFeedbackReasonModal_message on Message {
id
messageId
}
fragment SubscriptionPaywallModal_bot on Bot {
displayName
messageLimit {
dailyLimit
numMessagesRemaining
shouldShowRemainingMessageCount
resetTime
}
...BotImage_bot
}
fragment botHelpers_useDeletion_bot on Bot {
deletionState
}
fragment botHelpers_useViewerCanAccessPrivateBot on Bot {
isPrivateBot
viewerIsCreator
}
fragment chatHelpers_isBotMessage on Message {
...chatHelpers_isHumanMessage
...chatHelpers_isChatBreak
}
fragment chatHelpers_isChatBreak on Message {
author
}
fragment chatHelpers_isHumanMessage on Message {
author
}
fragment chatHelpers_useSendChatBreak_chat on Chat {
id
chatId
defaultBotObject {
nickname
introduction
model
id
}
shouldShowDisclaimer
}
fragment chatHelpers_useSendMessage_chat on Chat {
id
chatId
defaultBotObject {
id
nickname
}
shouldShowDisclaimer
}
fragment chatHelpers_useTimeoutLevel on Message {
id
state
text
messageId
chat {
chatId
defaultBotNickname
id
}
}
fragment chatHelpers_useUpdateStaleChat_chat on Chat {
chatId
defaultBotObject {
contextClearWindowSecs
id
}
...chatHelpers_useSendChatBreak_chat
}
fragment chatHelpers_useUpdateStaleChat_message on Message {
creationTime
...chatHelpers_isChatBreak
}

View File

@ -1,26 +0,0 @@
query ChatPaginationQuery($bot: String!, $before: String, $last: Int! = 10) {
chatOfBot(bot: $bot) {
id
__typename
messagesConnection(before: $before, last: $last) {
pageInfo {
hasPreviousPage
}
edges {
node {
id
__typename
messageId
text
linkifiedText
authorNickname
state
vote
voteReason
creationTime
suggestedReplies
}
}
}
}
}

View File

@ -1,8 +0,0 @@
query ChatViewQuery($bot: String!) {
chatOfBot(bot: $bot) {
id
chatId
defaultBotNickname
shouldShowDisclaimer
}
}

View File

@ -1,7 +0,0 @@
mutation DeleteHumanMessagesMutation($messageIds: [BigInt!]!) {
messagesDelete(messageIds: $messageIds) {
viewer {
id
}
}
}

View File

@ -1,7 +0,0 @@
mutation deleteMessageMutation(
$messageIds: [BigInt!]!
) {
messagesDelete(messageIds: $messageIds) {
edgeIds
}
}

View File

@ -1,8 +0,0 @@
fragment HandleFragment on Viewer {
id
poeUser {
id
uid
handle
}
}

View File

@ -1,13 +0,0 @@
mutation LoginWithVerificationCodeMutation(
$verificationCode: String!
$emailAddress: String
$phoneNumber: String
) {
loginWithVerificationCode(
verificationCode: $verificationCode
emailAddress: $emailAddress
phoneNumber: $phoneNumber
) {
status
}
}

View File

@ -1,100 +0,0 @@
subscription messageAdded (
$chatId: BigInt!
) {
messageAdded(chatId: $chatId) {
id
messageId
creationTime
state
...ChatMessage_message
...chatHelpers_isBotMessage
}
}
fragment ChatMessageDownvotedButton_message on Message {
...MessageFeedbackReasonModal_message
...MessageFeedbackOtherModal_message
}
fragment ChatMessageDropdownMenu_message on Message {
id
messageId
vote
text
linkifiedText
...chatHelpers_isBotMessage
}
fragment ChatMessageFeedbackButtons_message on Message {
id
messageId
vote
voteReason
...ChatMessageDownvotedButton_message
}
fragment ChatMessageOverflowButton_message on Message {
text
...ChatMessageDropdownMenu_message
...chatHelpers_isBotMessage
}
fragment ChatMessageSuggestedReplies_SuggestedReplyButton_message on Message {
messageId
}
fragment ChatMessageSuggestedReplies_message on Message {
suggestedReplies
...ChatMessageSuggestedReplies_SuggestedReplyButton_message
}
fragment ChatMessage_message on Message {
id
messageId
text
author
linkifiedText
state
...ChatMessageSuggestedReplies_message
...ChatMessageFeedbackButtons_message
...ChatMessageOverflowButton_message
...chatHelpers_isHumanMessage
...chatHelpers_isBotMessage
...chatHelpers_isChatBreak
...chatHelpers_useTimeoutLevel
...MarkdownLinkInner_message
}
fragment MarkdownLinkInner_message on Message {
messageId
}
fragment MessageFeedbackOtherModal_message on Message {
id
messageId
}
fragment MessageFeedbackReasonModal_message on Message {
id
messageId
}
fragment chatHelpers_isBotMessage on Message {
...chatHelpers_isHumanMessage
...chatHelpers_isChatBreak
}
fragment chatHelpers_isChatBreak on Message {
author
}
fragment chatHelpers_isHumanMessage on Message {
author
}
fragment chatHelpers_useTimeoutLevel on Message {
id
state
text
messageId
}

View File

@ -1,6 +0,0 @@
subscription MessageDeletedSubscription($chatId: BigInt!) {
messageDeleted(chatId: $chatId) {
id
messageId
}
}

View File

@ -1,13 +0,0 @@
fragment MessageFragment on Message {
id
__typename
messageId
text
linkifiedText
authorNickname
state
vote
voteReason
creationTime
suggestedReplies
}

View File

@ -1,7 +0,0 @@
mutation MessageRemoveVoteMutation($messageId: BigInt!) {
messageRemoveVote(messageId: $messageId) {
message {
...MessageFragment
}
}
}

View File

@ -1,7 +0,0 @@
mutation MessageSetVoteMutation($messageId: BigInt!, $voteType: VoteType!, $reason: String) {
messageSetVote(messageId: $messageId, voteType: $voteType, reason: $reason) {
message {
...MessageFragment
}
}
}

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@ -1,73 +0,0 @@
mutation CreateBotMain_poeBotCreate_Mutation(
$model: String!
$handle: String!
$prompt: String!
$isPromptPublic: Boolean!
$introduction: String!
$description: String!
$profilePictureUrl: String
$apiUrl: String
$apiKey: String
$isApiBot: Boolean
$hasLinkification: Boolean
$hasMarkdownRendering: Boolean
$hasSuggestedReplies: Boolean
$isPrivateBot: Boolean
) {
poeBotCreate(model: $model, handle: $handle, promptPlaintext: $prompt, isPromptPublic: $isPromptPublic, introduction: $introduction, description: $description, profilePicture: $profilePictureUrl, apiUrl: $apiUrl, apiKey: $apiKey, isApiBot: $isApiBot, hasLinkification: $hasLinkification, hasMarkdownRendering: $hasMarkdownRendering, hasSuggestedReplies: $hasSuggestedReplies, isPrivateBot: $isPrivateBot) {
status
bot {
id
...BotHeader_bot
}
}
}
fragment BotHeader_bot on Bot {
displayName
messageLimit {
dailyLimit
}
...BotImage_bot
...BotLink_bot
...IdAnnotation_node
...botHelpers_useViewerCanAccessPrivateBot
...botHelpers_useDeletion_bot
}
fragment BotImage_bot on Bot {
displayName
...botHelpers_useDeletion_bot
...BotImage_useProfileImage_bot
}
fragment BotImage_useProfileImage_bot on Bot {
image {
__typename
... on LocalBotImage {
localName
}
... on UrlBotImage {
url
}
}
...botHelpers_useDeletion_bot
}
fragment BotLink_bot on Bot {
displayName
}
fragment IdAnnotation_node on Node {
__isNode: __typename
id
}
fragment botHelpers_useDeletion_bot on Bot {
deletionState
}
fragment botHelpers_useViewerCanAccessPrivateBot on Bot {
isPrivateBot
viewerIsCreator
}

View File

@ -1,24 +0,0 @@
mutation EditBotMain_poeBotEdit_Mutation(
$botId: BigInt!
$handle: String!
$description: String!
$introduction: String!
$isPromptPublic: Boolean!
$baseBot: String!
$profilePictureUrl: String
$prompt: String!
$apiUrl: String
$apiKey: String
$hasLinkification: Boolean
$hasMarkdownRendering: Boolean
$hasSuggestedReplies: Boolean
$isPrivateBot: Boolean
) {
poeBotEdit(botId: $botId, handle: $handle, description: $description, introduction: $introduction, isPromptPublic: $isPromptPublic, model: $baseBot, promptPlaintext: $prompt, profilePicture: $profilePictureUrl, apiUrl: $apiUrl, apiKey: $apiKey, hasLinkification: $hasLinkification, hasMarkdownRendering: $hasMarkdownRendering, hasSuggestedReplies: $hasSuggestedReplies, isPrivateBot: $isPrivateBot) {
status
bot {
handle
id
}
}
}

View File

@ -1,40 +0,0 @@
mutation chatHelpers_sendMessageMutation_Mutation(
$chatId: BigInt!
$bot: String!
$query: String!
$source: MessageSource
$withChatBreak: Boolean!
) {
messageEdgeCreate(chatId: $chatId, bot: $bot, query: $query, source: $source, withChatBreak: $withChatBreak) {
chatBreak {
cursor
node {
id
messageId
text
author
suggestedReplies
creationTime
state
}
id
}
message {
cursor
node {
id
messageId
text
author
suggestedReplies
creationTime
state
chat {
shouldShowDisclaimer
id
}
}
id
}
}
}

View File

@ -1,12 +0,0 @@
mutation SendVerificationCodeForLoginMutation(
$emailAddress: String
$phoneNumber: String
) {
sendVerificationCode(
verificationReason: login
emailAddress: $emailAddress
phoneNumber: $phoneNumber
) {
status
}
}

View File

@ -1 +0,0 @@
mutation SettingsDeleteAccountButton_deleteAccountMutation_Mutation{ deleteAccount { viewer { uid id } }}

View File

@ -1,9 +0,0 @@
mutation ShareMessagesMutation(
$chatId: BigInt!
$messageIds: [BigInt!]!
$comment: String
) {
messagesShare(chatId: $chatId, messageIds: $messageIds, comment: $comment) {
shareCode
}
}

View File

@ -1,13 +0,0 @@
mutation SignupWithVerificationCodeMutation(
$verificationCode: String!
$emailAddress: String
$phoneNumber: String
) {
signupWithVerificationCode(
verificationCode: $verificationCode
emailAddress: $emailAddress
phoneNumber: $phoneNumber
) {
status
}
}

View File

@ -1,7 +0,0 @@
mutation StaleChatUpdateMutation($chatId: BigInt!) {
staleChatUpdate(chatId: $chatId) {
message {
...MessageFragment
}
}
}

View File

@ -1,9 +0,0 @@
mutation subscriptionsMutation(
$subscriptions: [AutoSubscriptionQuery!]!
) {
autoSubscribe(subscriptions: $subscriptions) {
viewer {
id
}
}
}

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@ -1,3 +0,0 @@
query SummarizePlainPostQuery($comment: String!) {
summarizePlainPost(comment: $comment)
}

View File

@ -1,3 +0,0 @@
query SummarizeQuotePostQuery($comment: String, $quotedPostId: BigInt!) {
summarizeQuotePost(comment: $comment, quotedPostId: $quotedPostId)
}

View File

@ -1,3 +0,0 @@
query SummarizeSharePostQuery($comment: String!, $chatId: BigInt!, $messageIds: [BigInt!]!) {
summarizeSharePost(comment: $comment, chatId: $chatId, messageIds: $messageIds)
}

View File

@ -1,14 +0,0 @@
fragment UserSnippetFragment on PoeUser {
id
uid
bio
handle
fullName
viewerIsFollowing
isPoeOnlyUser
profilePhotoURLTiny: profilePhotoUrl(size: tiny)
profilePhotoURLSmall: profilePhotoUrl(size: small)
profilePhotoURLMedium: profilePhotoUrl(size: medium)
profilePhotoURLLarge: profilePhotoUrl(size: large)
isFollowable
}

View File

@ -1,21 +0,0 @@
query ViewerInfoQuery {
viewer {
id
uid
...ViewerStateFragment
...BioFragment
...HandleFragment
hasCompletedMultiplayerNux
poeUser {
id
...UserSnippetFragment
}
messageLimit{
canSend
numMessagesRemaining
resetTime
shouldShowReminder
}
}
}

View File

@ -1,30 +0,0 @@
fragment ViewerStateFragment on Viewer {
id
__typename
iosMinSupportedVersion: integerGate(gateName: "poe_ios_min_supported_version")
iosMinEncouragedVersion: integerGate(
gateName: "poe_ios_min_encouraged_version"
)
macosMinSupportedVersion: integerGate(
gateName: "poe_macos_min_supported_version"
)
macosMinEncouragedVersion: integerGate(
gateName: "poe_macos_min_encouraged_version"
)
showPoeDebugPanel: booleanGate(gateName: "poe_show_debug_panel")
enableCommunityFeed: booleanGate(gateName: "enable_poe_shares_feed")
linkifyText: booleanGate(gateName: "poe_linkify_response")
enableSuggestedReplies: booleanGate(gateName: "poe_suggested_replies")
removeInviteLimit: booleanGate(gateName: "poe_remove_invite_limit")
enableInAppPurchases: booleanGate(gateName: "poe_enable_in_app_purchases")
availableBots {
nickname
displayName
profilePicture
isDown
disclaimer
subtitle
poweredBy
}
}

View File

@ -1,43 +0,0 @@
subscription viewerStateUpdated {
viewerStateUpdated {
id
...ChatPageBotSwitcher_viewer
}
}
fragment BotHeader_bot on Bot {
displayName
messageLimit {
dailyLimit
}
...BotImage_bot
}
fragment BotImage_bot on Bot {
image {
__typename
... on LocalBotImage {
localName
}
... on UrlBotImage {
url
}
}
displayName
}
fragment BotLink_bot on Bot {
displayName
}
fragment ChatPageBotSwitcher_viewer on Viewer {
availableBots {
id
messageLimit {
dailyLimit
}
...BotLink_bot
...BotHeader_bot
}
allowUserCreatedBots: booleanGate(gateName: "enable_user_created_bots")
}

View File

@ -1,80 +0,0 @@
from json import loads
from re import findall
from time import sleep
from fake_useragent import UserAgent
from requests import Session
class Emailnator:
def __init__(self) -> None:
self.client = Session()
self.client.get("https://www.emailnator.com/", timeout=6)
self.cookies = self.client.cookies.get_dict()
self.client.headers = {
"authority": "www.emailnator.com",
"origin": "https://www.emailnator.com",
"referer": "https://www.emailnator.com/",
"user-agent": UserAgent().random,
"x-xsrf-token": self.client.cookies.get("XSRF-TOKEN")[:-3] + "=",
}
self.email = None
def get_mail(self):
response = self.client.post(
"https://www.emailnator.com/generate-email",
json={
"email": [
"domain",
"plusGmail",
"dotGmail",
]
},
)
self.email = loads(response.text)["email"][0]
return self.email
def get_message(self):
print("Waiting for message...")
while True:
sleep(2)
mail_token = self.client.post("https://www.emailnator.com/message-list", json={"email": self.email})
mail_token = loads(mail_token.text)["messageData"]
if len(mail_token) == 2:
print("Message received!")
print(mail_token[1]["messageID"])
break
mail_context = self.client.post(
"https://www.emailnator.com/message-list",
json={
"email": self.email,
"messageID": mail_token[1]["messageID"],
},
)
return mail_context.text
def get_verification_code(self):
message = self.get_message()
code = findall(r';">(\d{6,7})</div>', message)[0]
print(f"Verification code: {code}")
return code
def clear_inbox(self):
print("Clearing inbox...")
self.client.post(
"https://www.emailnator.com/delete-all",
json={"email": self.email},
)
print("Inbox cleared!")
def __del__(self):
if self.email:
self.clear_inbox()

View File

@ -1,38 +0,0 @@
import unittest
import requests
from unittest.mock import MagicMock
from gpt4free.quora.api import retry_request
class TestRetryRequest(unittest.TestCase):
def test_successful_request(self):
# Mock a successful request with a 200 status code
mock_response = MagicMock()
mock_response.status_code = 200
requests.get = MagicMock(return_value=mock_response)
# Call the function and assert that it returns the response
response = retry_request(requests.get, "http://example.com", max_attempts=3)
self.assertEqual(response.status_code, 200)
def test_exponential_backoff(self):
# Mock a failed request that succeeds after two retries
mock_response = MagicMock()
mock_response.status_code = 200
requests.get = MagicMock(side_effect=[requests.exceptions.RequestException] * 2 + [mock_response])
# Call the function and assert that it retries with exponential backoff
with self.assertLogs() as logs:
response = retry_request(requests.get, "http://example.com", max_attempts=3, delay=1)
self.assertEqual(response.status_code, 200)
self.assertGreaterEqual(len(logs.output), 2)
self.assertIn("Retrying in 1 seconds...", logs.output[0])
self.assertIn("Retrying in 2 seconds...", logs.output[1])
def test_too_many_attempts(self):
# Mock a failed request that never succeeds
requests.get = MagicMock(side_effect=requests.exceptions.RequestException)
# Call the function and assert that it raises an exception after the maximum number of attempts
with self.assertRaises(RuntimeError):
retry_request(requests.get, "http://example.com", max_attempts=3)

View File

@ -1,4 +0,0 @@
import forefront
token = forefront.Account.create()
response = forefront.Completion.create(token=token, prompt='Hello!')
print(response)

View File

@ -1,14 +0,0 @@
### Example: `theb` (use like openai pypi package) <a name="example-theb"></a>
```python
# import library
from gpt4free import theb
# simple streaming completion
while True:
x = input()
for token in theb.Completion.create(x):
print(token, end='', flush=True)
print("")
```

View File

@ -1,76 +0,0 @@
from json import loads
from queue import Queue, Empty
from re import findall
from threading import Thread
from typing import Generator, Optional
from curl_cffi import requests
from fake_useragent import UserAgent
class Completion:
# experimental
part1 = '{"role":"assistant","id":"chatcmpl'
part2 = '"},"index":0,"finish_reason":null}]}}'
regex = rf'{part1}(.*){part2}'
timer = None
message_queue = Queue()
stream_completed = False
last_msg_id = None
@staticmethod
def request(prompt: str, proxy: Optional[str] = None):
headers = {
'authority': 'chatbot.theb.ai',
'content-type': 'application/json',
'origin': 'https://chatbot.theb.ai',
'user-agent': UserAgent().random,
}
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else None
options = {}
if Completion.last_msg_id:
options['parentMessageId'] = Completion.last_msg_id
requests.post(
'https://chatbot.theb.ai/api/chat-process',
headers=headers,
proxies=proxies,
content_callback=Completion.handle_stream_response,
json={'prompt': prompt, 'options': options},
timeout=100000
)
Completion.stream_completed = True
@staticmethod
def create(prompt: str, proxy: Optional[str] = None) -> Generator[str, None, None]:
Completion.stream_completed = False
Thread(target=Completion.request, args=[prompt, proxy]).start()
while not Completion.stream_completed or not Completion.message_queue.empty():
try:
message = Completion.message_queue.get(timeout=0.01)
for message in findall(Completion.regex, message):
message_json = loads(Completion.part1 + message + Completion.part2)
Completion.last_msg_id = message_json['id']
yield message_json['delta']
except Empty:
pass
@staticmethod
def handle_stream_response(response):
Completion.message_queue.put(response.decode())
@staticmethod
def get_response(prompt: str, proxy: Optional[str] = None) -> str:
response_list = []
for message in Completion.create(prompt, proxy):
response_list.append(message)
return ''.join(response_list)
Completion.message_queue.put(response.decode(errors='replace'))

View File

@ -1,4 +0,0 @@
import theb
for token in theb.Completion.create('hello world'):
print(token, end='', flush=True)

View File

@ -1,33 +0,0 @@
ai.usesless.com
### Example: `usesless` <a name="example-usesless"></a>
### Token generation
<p>This will create account.json that contains email and token in json</p>
```python
from gpt4free import usesless
token = usesless.Account.create(logging=True)
print(token)
```
### Completion
<p>Insert token from account.json</p>
```python
import usesless
message_id = ""
token = <TOKENHERE> # usesless.Account.create(logging=True)
while True:
prompt = input("Question: ")
if prompt == "!stop":
break
req = usesless.Completion.create(prompt=prompt, parentMessageId=message_id, token=token)
print(f"Answer: {req['text']}")
message_id = req["id"]
```

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@ -1,158 +0,0 @@
import string
import time
import re
import json
import requests
import fake_useragent
import random
from password_generator import PasswordGenerator
from .utils import create_email, check_email
class Account:
@staticmethod
def create(logging: bool = False):
is_custom_domain = input(
"Do you want to use your custom domain name for temporary email? [Y/n]: "
).upper()
if is_custom_domain == "Y":
mail_address = create_email(custom_domain=True, logging=logging)
elif is_custom_domain == "N":
mail_address = create_email(custom_domain=False, logging=logging)
else:
print("Please, enter either Y or N")
return
name = string.ascii_lowercase + string.digits
username = "".join(random.choice(name) for i in range(20))
pwo = PasswordGenerator()
pwo.minlen = 8
password = pwo.generate()
session = requests.Session()
register_url = "https://ai.usesless.com/api/cms/auth/local/register"
register_json = {
"username": username,
"password": password,
"email": mail_address,
}
headers = {
"authority": "ai.usesless.com",
"accept": "application/json, text/plain, */*",
"accept-language": "en-US,en;q=0.5",
"cache-control": "no-cache",
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"user-agent": fake_useragent.UserAgent().random,
}
register = session.post(register_url, json=register_json, headers=headers)
if logging:
if register.status_code == 200:
print("Registered successfully")
else:
print(register.status_code)
print(register.json())
print("There was a problem with account registration, try again")
if register.status_code != 200:
quit()
while True:
time.sleep(5)
messages = check_email(mail=mail_address, logging=logging)
# Check if method `message_list()` didn't return None or empty list.
if not messages or len(messages) == 0:
# If it returned None or empty list sleep for 5 seconds to wait for new message.
continue
message_text = messages[0]["content"]
verification_url = re.findall(
r"http:\/\/ai\.usesless\.com\/api\/cms\/auth\/email-confirmation\?confirmation=\w.+\w\w",
message_text,
)[0]
if verification_url:
break
session.get(verification_url)
login_json = {"identifier": mail_address, "password": password}
login_request = session.post(
url="https://ai.usesless.com/api/cms/auth/local", json=login_json
)
token = login_request.json()["jwt"]
if logging and token:
print(f"Token: {token}")
with open("account.json", "w") as file:
json.dump({"email": mail_address, "token": token}, file)
if logging:
print(
"\nNew account credentials has been successfully saved in 'account.json' file"
)
return token
class Completion:
@staticmethod
def create(
token: str,
systemMessage: str = "You are a helpful assistant",
prompt: str = "",
parentMessageId: str = "",
presence_penalty: float = 1,
temperature: float = 1,
model: str = "gpt-3.5-turbo",
):
headers = {
"authority": "ai.usesless.com",
"accept": "application/json, text/plain, */*",
"accept-language": "en-US,en;q=0.5",
"cache-control": "no-cache",
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"user-agent": fake_useragent.UserAgent().random,
"Authorization": f"Bearer {token}",
}
json_data = {
"openaiKey": "",
"prompt": prompt,
"options": {
"parentMessageId": parentMessageId,
"systemMessage": systemMessage,
"completionParams": {
"presence_penalty": presence_penalty,
"temperature": temperature,
"model": model,
},
},
}
url = "https://ai.usesless.com/api/chat-process"
request = requests.post(url, headers=headers, json=json_data)
request.encoding = request.apparent_encoding
content = request.content
response = Completion.__response_to_json(content)
return response
@classmethod
def __response_to_json(cls, text) -> str:
text = str(text.decode("utf-8"))
split_text = text.rsplit("\n", 1)
if len(split_text) > 1:
to_json = json.loads(split_text[1])
return to_json
else:
return None

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@ -1 +0,0 @@
{"email": "enganese-test-email@1secmail.net", "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6Mzg1MDEsImlhdCI6MTY4NTExMDgzOSwiZXhwIjoxNzE2NjY4NDM5fQ.jfEQOFWYQP2Xx4U-toorPg3nh31mxl3L0D2hRROmjZA"}

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@ -1,3 +0,0 @@
import usesless
usesless.Account.create(logging=True)

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@ -1,10 +0,0 @@
# Fix by @enganese
# Import Account class from __init__.py file
from gpt4free import usesless
# Create Account and enable logging to see all the log messages (it's very interesting, try it!)
# New account credentials will be automatically saved in account.json file in such template: {"email": "username@1secmail.com", "token": "token here"}
token = usesless.Account.create(logging=True)
# Print the new token
print(token)

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@ -1,139 +0,0 @@
import requests
import random
import string
import time
import sys
import re
import os
def check_email(mail, logging: bool = False):
username = mail.split("@")[0]
domain = mail.split("@")[1]
reqLink = f"https://www.1secmail.com/api/v1/?action=getMessages&login={username}&domain={domain}"
req = requests.get(reqLink)
req.encoding = req.apparent_encoding
req = req.json()
length = len(req)
if logging:
os.system("cls" if os.name == "nt" else "clear")
time.sleep(1)
print("Your temporary mail:", mail)
if logging and length == 0:
print(
"Mailbox is empty. Hold tight. Mailbox is refreshed automatically every 5 seconds.",
)
else:
messages = []
id_list = []
for i in req:
for k, v in i.items():
if k == "id":
id_list.append(v)
x = "mails" if length > 1 else "mail"
if logging:
print(
f"Mailbox has {length} {x}. (Mailbox is refreshed automatically every 5 seconds.)"
)
for i in id_list:
msgRead = f"https://www.1secmail.com/api/v1/?action=readMessage&login={username}&domain={domain}&id={i}"
req = requests.get(msgRead)
req.encoding = req.apparent_encoding
req = req.json()
for k, v in req.items():
if k == "from":
sender = v
if k == "subject":
subject = v
if k == "date":
date = v
if k == "textBody":
content = v
if logging:
print(
"Sender:",
sender,
"\nTo:",
mail,
"\nSubject:",
subject,
"\nDate:",
date,
"\nContent:",
content,
"\n",
)
messages.append(
{
"sender": sender,
"to": mail,
"subject": subject,
"date": date,
"content": content,
}
)
if logging:
os.system("cls" if os.name == "nt" else "clear")
return messages
def create_email(custom_domain: bool = False, logging: bool = False):
domainList = ["1secmail.com", "1secmail.net", "1secmail.org"]
domain = random.choice(domainList)
try:
if custom_domain:
custom_domain = input(
"\nIf you enter 'my-test-email' as your domain name, mail address will look like this: 'my-test-email@1secmail.com'"
"\nEnter the name that you wish to use as your domain name: "
)
newMail = f"https://www.1secmail.com/api/v1/?login={custom_domain}&domain={domain}"
reqMail = requests.get(newMail)
reqMail.encoding = reqMail.apparent_encoding
username = re.search(r"login=(.*)&", newMail).group(1)
domain = re.search(r"domain=(.*)", newMail).group(1)
mail = f"{username}@{domain}"
if logging:
print("\nYour temporary email was created successfully:", mail)
return mail
else:
name = string.ascii_lowercase + string.digits
random_username = "".join(random.choice(name) for i in range(10))
newMail = f"https://www.1secmail.com/api/v1/?login={random_username}&domain={domain}"
reqMail = requests.get(newMail)
reqMail.encoding = reqMail.apparent_encoding
username = re.search(r"login=(.*)&", newMail).group(1)
domain = re.search(r"domain=(.*)", newMail).group(1)
mail = f"{username}@{domain}"
if logging:
print("\nYour temporary email was created successfully:", mail)
return mail
except KeyboardInterrupt:
requests.post(
"https://www.1secmail.com/mailbox",
data={
"action": "deleteMailbox",
"login": f"{username}",
"domain": f"{domain}",
},
)
if logging:
print("\nKeyboard Interrupt Detected! \nTemporary mail was disposed!")
os.system("cls" if os.name == "nt" else "clear")

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@ -1,38 +0,0 @@
### Example: `you` (use like openai pypi package) <a name="example-you"></a>
```python
from gpt4free import you
# simple request with links and details
response = you.Completion.create(
prompt="hello world",
detailed=True,
include_links=True, )
print(response.dict())
# {
# "response": "...",
# "links": [...],
# "extra": {...},
# "slots": {...}
# }
# }
# chatbot
chat = []
while True:
prompt = input("You: ")
if prompt == 'q':
break
response = you.Completion.create(
prompt=prompt,
chat=chat)
print("Bot:", response.text)
chat.append({"question": prompt, "answer": response.text})
```

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@ -1,127 +0,0 @@
import json
import re
from typing import Optional, List, Dict, Any
from uuid import uuid4
from fake_useragent import UserAgent
from pydantic import BaseModel
from requests import RequestException
from retrying import retry
from tls_client import Session
from tls_client.response import Response
class YouResponse(BaseModel):
text: Optional[str] = None
links: List[str] = []
extra: Dict[str, Any] = {}
class Completion:
@staticmethod
def create(
prompt: str,
page: int = 1,
count: int = 10,
safe_search: str = 'Moderate',
on_shopping_page: bool = False,
mkt: str = '',
response_filter: str = 'WebPages,Translations,TimeZone,Computation,RelatedSearches',
domain: str = 'youchat',
query_trace_id: str = None,
chat: list = None,
include_links: bool = False,
detailed: bool = False,
debug: bool = False,
proxy: Optional[str] = None,
) -> YouResponse:
if chat is None:
chat = []
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else {}
client = Session(client_identifier='chrome_108')
client.headers = Completion.__get_headers()
client.proxies = proxies
params = {
'q': prompt,
'page': page,
'count': count,
'safeSearch': safe_search,
'onShoppingPage': on_shopping_page,
'mkt': mkt,
'responseFilter': response_filter,
'domain': domain,
'queryTraceId': str(uuid4()) if query_trace_id is None else query_trace_id,
'chat': str(chat), # {'question':'','answer':' ''}
}
try:
response = Completion.__make_request(client, params)
except Exception:
return Completion.__get_failure_response()
if debug:
print('\n\n------------------\n\n')
print(response.text)
print('\n\n------------------\n\n')
you_chat_serp_results = re.search(
r'(?<=event: youChatSerpResults\ndata:)(.*\n)*?(?=event: )', response.text
).group()
third_party_search_results = re.search(
r'(?<=event: thirdPartySearchResults\ndata:)(.*\n)*?(?=event: )', response.text
).group()
# slots = findall(r"slots\ndata: (.*)\n\nevent", response.text)[0]
text = ''.join(re.findall(r'{\"youChatToken\": \"(.*?)\"}', response.text))
extra = {
'youChatSerpResults': json.loads(you_chat_serp_results),
# 'slots' : loads(slots)
}
response = YouResponse(text=text.replace('\\n', '\n').replace('\\\\', '\\').replace('\\"', '"'))
if include_links:
response.links = json.loads(third_party_search_results)['search']['third_party_search_results']
if detailed:
response.extra = extra
return response
@staticmethod
def __get_headers() -> dict:
return {
'authority': 'you.com',
'accept': 'text/event-stream',
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
'cache-control': 'no-cache',
'referer': 'https://you.com/search?q=who+are+you&tbm=youchat',
'sec-ch-ua': '"Not_A Brand";v="99", "Google Chrome";v="109", "Chromium";v="109"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'cookie': f'safesearch_guest=Moderate; uuid_guest={str(uuid4())}',
'user-agent': UserAgent().random,
}
@staticmethod
def __get_failure_response() -> YouResponse:
return YouResponse(text='Unable to fetch the response, Please try again.')
@staticmethod
@retry(
wait_fixed=5000,
stop_max_attempt_number=5,
retry_on_exception=lambda e: isinstance(e, RequestException),
)
def __make_request(client: Session, params: dict) -> Response:
response = client.get(f'https://you.com/api/streamingSearch', params=params)
if 'youChatToken' not in response.text:
print('retry')
raise RequestException('Unable to get the response from server')
return response

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@ -1,78 +0,0 @@
# gpt4free gui
This code provides a Graphical User Interface (GUI) for gpt4free. Users can ask questions and get answers from GPT-4 API's, utilizing multiple API implementations. The project contains two different Streamlit applications: `streamlit_app.py` and `streamlit_chat_app.py`.
In addition, a new GUI script specifically implemented using PyWebIO has been added and can be found in the pywebio-gui folder. If there are errors with the Streamlit version, you can try using the PyWebIO version instead
Installation
------------
1. Clone the repository.
2. Install the required dependencies with: `pip install -r requirements.txt`.
3. To use `streamlit_chat_app.py`, note that it depends on a pull request (PR #24) from the https://github.com/AI-Yash/st-chat/ repository, which may change in the future. The current dependency library can be found at https://github.com/AI-Yash/st-chat/archive/refs/pull/24/head.zip.
Analytics Disclaimer
-----
The streamlit browser app collects heavy analytics even when running locally. This includes events for every page load, form submission including metadata on queries (like length), browser and client information including host ips. These are all transmitted to a 3rd party analytics group, Segment.com.
Usage
-----
Choose one of the Streamlit applications to run:
### streamlit\_app.py
This application provides a simple interface for asking GPT-4 questions and receiving answers.
To run the application:
run:
```arduino
streamlit run gui/streamlit_app.py
```
<br>
<img width="724" alt="image" src="https://user-images.githubusercontent.com/98614666/234232449-0d5cd092-a29d-4759-8197-e00ba712cb1a.png">
<br>
<br>
preview:
<img width="1125" alt="image" src="https://user-images.githubusercontent.com/98614666/234232398-09e9d3c5-08e6-4b8a-b4f2-0666e9790c7d.png">
### streamlit\_chat\_app.py
This application provides a chat-like interface for asking GPT-4 questions and receiving answers. It supports multiple query methods, and users can select the desired API for their queries. The application also maintains a conversation history.
To run the application:
```arduino
streamlit run streamlit_chat_app.py
```
<br>
<img width="724" alt="image" src="image1.png">
<br>
<br>
preview:
<img width="1125" alt="image" src="image2.png">
Contributing
------------
Feel free to submit pull requests, report bugs, or request new features by opening issues on the GitHub repository.
Bug
----
There is a bug in `streamlit_chat_app.py` right now that I haven't pinpointed yet, probably is really simple but havent had the time to look for it. Whenever you open a new conversation or access an old conversation it will only start prompt-answering after the second time you input to the text input, other than that, everything else seems to work accordingly.
License
-------
This project is licensed under the MIT License.

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# GUI with PyWebIO
Simple, fast, and with fewer errors
Only requires
```bash
pip install gpt4free
pip install pywebio
```
clicking on 'pywebio-usesless.py' will run it
PS: Currently, only 'usesless' is implemented, and the GUI is expected to be updated infrequently, with a focus on stability.
↓ Here is the introduction in zh-Hans-CN below.
# 使用pywebio实现的极简GUI
简单,快捷,报错少
只需要
```bash
pip install gpt4free
pip install pywebio
```
双击pywebio-usesless.py即可运行
ps目前仅实现usesless这个gui更新频率应该会比较少目的是追求稳定

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@ -1,59 +0,0 @@
from gpt4free import usesless
import time
from pywebio import start_server,config
from pywebio.input import *
from pywebio.output import *
from pywebio.session import local
message_id = ""
def status():
try:
req = usesless.Completion.create(prompt="hello", parentMessageId=message_id)
print(f"Answer: {req['text']}")
put_success(f"Answer: {req['text']}",scope="body")
except:
put_error("Program Error",scope="body")
def ask(prompt):
req = usesless.Completion.create(prompt=prompt, parentMessageId=local.message_id)
rp=req['text']
local.message_id=req["id"]
print("AI\n"+rp)
local.conversation.extend([
{"role": "user", "content": prompt},
{"role": "assistant", "content": rp}
])
print(local.conversation)
return rp
def msg():
while True:
text= input_group("You:",[textarea('You',name='text',rows=3, placeholder='请输入问题')])
if not(bool(text)):
break
if not(bool(text["text"])):
continue
time.sleep(0.5)
put_code("You"+text["text"],scope="body")
print("Question"+text["text"])
with use_scope('foot'):
put_loading(color="info")
rp= ask(text["text"])
clear(scope="foot")
time.sleep(0.5)
put_markdown("Bot:\n"+rp,scope="body")
time.sleep(0.7)
@config(title="AIchat",theme="dark")
def main():
put_scope("heads")
with use_scope('heads'):
put_html("<h1><center>AI Chat</center></h1>")
put_scope("body")
put_scope("foot")
status()
local.conversation=[]
local.message_id=""
msg()
print("Click link to chat page")
start_server(main, port=8099,allowed_origins="*",auto_open_webbrowser=True,debug=True)

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import os
import sys
from typing import Optional
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
from gpt4free import quora, forefront, theb, you
import random
def query_forefront(question: str, proxy: Optional[str] = None) -> str:
# create an account
token = forefront.Account.create(logging=False, proxy=proxy)
response = ""
# get a response
try:
return forefront.Completion.create(token=token, prompt='hello world', model='gpt-4', proxy=proxy).text
except Exception as e:
# Return error message if an exception occurs
return (
f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
)
def query_quora(question: str, proxy: Optional[str] = None) -> str:
token = quora.Account.create(logging=False, enable_bot_creation=True, proxy=proxy)
return quora.Completion.create(model='gpt-4', prompt=question, token=token, proxy=proxy).text
def query_theb(question: str, proxy: Optional[str] = None) -> str:
# Set cloudflare clearance cookie and get answer from GPT-4 model
response = ""
try:
return ''.join(theb.Completion.create(prompt=question, proxy=proxy))
except Exception as e:
# Return error message if an exception occurs
return (
f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
)
def query_you(question: str, proxy: Optional[str] = None) -> str:
# Set cloudflare clearance cookie and get answer from GPT-4 model
try:
result = you.Completion.create(prompt=question, proxy=proxy)
return result.text
except Exception as e:
# Return error message if an exception occurs
return (
f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
)
# Define a dictionary containing all query methods
avail_query_methods = {
"Forefront": query_forefront,
"Poe": query_quora,
"Theb": query_theb,
"You": query_you,
# "Writesonic": query_writesonic,
# "T3nsor": query_t3nsor,
# "Phind": query_phind,
# "Ora": query_ora,
}
def query(user_input: str, selected_method: str = "Random", proxy: Optional[str] = None) -> str:
# If a specific query method is selected (not "Random") and the method is in the dictionary, try to call it
if selected_method != "Random" and selected_method in avail_query_methods:
try:
return avail_query_methods[selected_method](user_input, proxy=proxy)
except Exception as e:
print(f"Error with {selected_method}: {e}")
return "😵 Sorry, some error occurred please try again."
# Initialize variables for determining success and storing the result
success = False
result = "😵 Sorry, some error occurred please try again."
# Create a list of available query methods
query_methods_list = list(avail_query_methods.values())
# Continue trying different methods until a successful result is obtained or all methods have been tried
while not success and query_methods_list:
# Choose a random method from the list
chosen_query = random.choice(query_methods_list)
# Find the name of the chosen method
chosen_query_name = [k for k, v in avail_query_methods.items() if v == chosen_query][0]
try:
# Try to call the chosen method with the user input
result = chosen_query(user_input, proxy=proxy)
success = True
except Exception as e:
print(f"Error with {chosen_query_name}: {e}")
# Remove the failed method from the list of available methods
query_methods_list.remove(chosen_query)
return result

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import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
import streamlit as st
from gpt4free import you
def get_answer(question: str) -> str:
# Set cloudflare clearance cookie and get answer from GPT-4 model
try:
result = you.Completion.create(prompt=question)
return result.text
except Exception as e:
# Return error message if an exception occurs
return (
f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
)
# Set page configuration and add header
st.set_page_config(
page_title="gpt4freeGUI",
initial_sidebar_state="expanded",
page_icon="🧠",
menu_items={
'Get Help': 'https://github.com/xtekky/gpt4free/blob/main/README.md',
'Report a bug': "https://github.com/xtekky/gpt4free/issues",
'About': "### gptfree GUI",
},
)
st.header('GPT4free GUI')
# Add text area for user input and button to get answer
question_text_area = st.text_area('🤖 Ask Any Question :', placeholder='Explain quantum computing in 50 words')
if st.button('🧠 Think'):
answer = get_answer(question_text_area)
escaped = answer.encode('utf-8').decode('unicode-escape')
# Display answer
st.caption("Answer :")
st.markdown(escaped)
# Hide Streamlit footer
hide_streamlit_style = """
<style>
footer {visibility: hidden;}
</style>
"""
st.markdown(hide_streamlit_style, unsafe_allow_html=True)

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import atexit
import Levenshtein
import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
import streamlit as st
from streamlit_chat import message
from query_methods import query, avail_query_methods
import pickle
conversations_file = "conversations.pkl"
def load_conversations():
try:
with open(conversations_file, "rb") as f:
return pickle.load(f)
except FileNotFoundError:
return []
except EOFError:
return []
def save_conversations(conversations, current_conversation):
updated = False
for idx, conversation in enumerate(conversations):
if conversation == current_conversation:
conversations[idx] = current_conversation
updated = True
break
if not updated:
conversations.append(current_conversation)
temp_conversations_file = "temp_" + conversations_file
with open(temp_conversations_file, "wb") as f:
pickle.dump(conversations, f)
os.replace(temp_conversations_file, conversations_file)
def delete_conversation(conversations, current_conversation):
for idx, conversation in enumerate(conversations):
conversations[idx] = current_conversation
break
conversations.remove(current_conversation)
temp_conversations_file = "temp_" + conversations_file
with open(temp_conversations_file, "wb") as f:
pickle.dump(conversations, f)
os.replace(temp_conversations_file, conversations_file)
def exit_handler():
print("Exiting, saving data...")
# Perform cleanup operations here, like saving data or closing open files.
save_conversations(st.session_state.conversations, st.session_state.current_conversation)
# Register the exit_handler function to be called when the program is closing.
atexit.register(exit_handler)
st.header("Chat Placeholder")
if 'conversations' not in st.session_state:
st.session_state['conversations'] = load_conversations()
if 'input_text' not in st.session_state:
st.session_state['input_text'] = ''
if 'selected_conversation' not in st.session_state:
st.session_state['selected_conversation'] = None
if 'input_field_key' not in st.session_state:
st.session_state['input_field_key'] = 0
if 'query_method' not in st.session_state:
st.session_state['query_method'] = query
if 'search_query' not in st.session_state:
st.session_state['search_query'] = ''
# Initialize new conversation
if 'current_conversation' not in st.session_state or st.session_state['current_conversation'] is None:
st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
input_placeholder = st.empty()
user_input = input_placeholder.text_input(
'You:', value=st.session_state['input_text'], key=f'input_text_-1'#{st.session_state["input_field_key"]}
)
submit_button = st.button("Submit")
if (user_input and user_input != st.session_state['input_text']) or submit_button:
output = query(user_input, st.session_state['query_method'])
escaped_output = output.encode('utf-8').decode('unicode-escape')
st.session_state['current_conversation']['user_inputs'].append(user_input)
st.session_state.current_conversation['generated_responses'].append(escaped_output)
save_conversations(st.session_state.conversations, st.session_state.current_conversation)
st.session_state['input_text'] = ''
st.session_state['input_field_key'] += 1 # Increment key value for new widget
user_input = input_placeholder.text_input(
'You:', value=st.session_state['input_text'], key=f'input_text_{st.session_state["input_field_key"]}'
) # Clear the input field
# Add a button to create a new conversation
if st.sidebar.button("New Conversation"):
st.session_state['selected_conversation'] = None
st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
st.session_state['input_field_key'] += 1 # Increment key value for new widget
st.session_state['query_method'] = st.sidebar.selectbox("Select API:", options=avail_query_methods, index=0)
# Proxy
st.session_state['proxy'] = st.sidebar.text_input("Proxy: ")
# Searchbar
search_query = st.sidebar.text_input("Search Conversations:", value=st.session_state.get('search_query', ''), key='search')
if search_query:
filtered_conversations = []
indices = []
for idx, conversation in enumerate(st.session_state.conversations):
if search_query in conversation['user_inputs'][0]:
filtered_conversations.append(conversation)
indices.append(idx)
filtered_conversations = list(zip(indices, filtered_conversations))
conversations = sorted(filtered_conversations, key=lambda x: Levenshtein.distance(search_query, x[1]['user_inputs'][0]))
sidebar_header = f"Search Results ({len(conversations)})"
else:
conversations = st.session_state.conversations
sidebar_header = "Conversation History"
# Sidebar
st.sidebar.header(sidebar_header)
sidebar_col1, sidebar_col2 = st.sidebar.columns([5,1])
for idx, conversation in enumerate(conversations):
if sidebar_col1.button(f"Conversation {idx + 1}: {conversation['user_inputs'][0]}", key=f"sidebar_btn_{idx}"):
st.session_state['selected_conversation'] = idx
st.session_state['current_conversation'] = conversation
if sidebar_col2.button('🗑️', key=f"sidebar_btn_delete_{idx}"):
if st.session_state['selected_conversation'] == idx:
st.session_state['selected_conversation'] = None
st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
delete_conversation(conversations, conversation)
st.experimental_rerun()
if st.session_state['selected_conversation'] is not None:
conversation_to_display = conversations[st.session_state['selected_conversation']]
else:
conversation_to_display = st.session_state.current_conversation
if conversation_to_display['generated_responses']:
for i in range(len(conversation_to_display['generated_responses']) - 1, -1, -1):
message(conversation_to_display["generated_responses"][i], key=f"display_generated_{i}")
message(conversation_to_display['user_inputs'][i], is_user=True, key=f"display_user_{i}")

1816
g4f/.v1/poetry.lock generated

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@ -1,37 +0,0 @@
[tool.poetry]
name = "gpt4free"
version = "0.1.0"
description = ""
authors = []
license = "GPL-3.0"
readme = "README.md"
packages = [{ include = "gpt4free" }]
exclude = ["**/*.txt"]
[tool.poetry.dependencies]
python = "^3.10"
colorama = "^0.4.6"
curl-cffi = "^0.5.5"
fake-useragent = "^1.1.3"
Levenshtein = "*"
mailgw_temporary_email = "*"
names = "^0.3.0"
pycryptodome = "*"
pydantic = "^1.10.7"
pypasser = "^0.0.5"
pymailtm = "*"
random-password-generator = "*"
requests = "^2.29.0"
retrying = "*"
selenium = "^4.9.0"
streamlit-chat = { git = "https://github.com/AI-Yash/st-chat", rev = "ffb0583" }
streamlit = "^1.21.0"
tls-client = "^0.2"
twocaptcha = "^0.0.1"
websocket-client = "^1.5.1"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

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@ -1,25 +0,0 @@
websocket-client
requests
tls-client
pypasser
names
colorama
curl_cffi
aiohttp
flask
flask_cors
streamlit
selenium
fake-useragent
twocaptcha
pydantic
pymailtm
Levenshtein
retrying
mailgw_temporary_email
pycryptodome
random-password-generator
numpy>=1.22.2 # not directly required, pinned by Snyk to avoid a vulnerability
tornado>=6.3.2 # not directly required, pinned by Snyk to avoid a vulnerability
PyExecJS
browser_cookie3

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@ -1,13 +0,0 @@
import aiassist
question1 = "Who won the world series in 2020?"
req = aiassist.Completion.create(prompt=question1)
answer = req["text"]
message_id = req["parentMessageId"]
question2 = "Where was it played?"
req2 = aiassist.Completion.create(prompt=question2, parentMessageId=message_id)
answer2 = req2["text"]
print(answer)
print(answer2)

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@ -1,6 +0,0 @@
from gpt4free import aicolors
prompt = "Light green color"
req = aicolors.Completion.create(prompt=prompt)
print(req)

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@ -1,18 +0,0 @@
from gpt4free import deepai
#single completion
for chunk in deepai.Completion.create("Write a list of possible vacation destinations:"):
print(chunk, end="", flush=True)
print()
#chat completion
print("==============")
messages = [ #taken from the openai docs
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Who won the world series in 2020?"},
{"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
{"role": "user", "content": "Where was it played?"}
]
for chunk in deepai.ChatCompletion.create(messages):
print(chunk, end="", flush=True)
print()

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@ -1,9 +0,0 @@
from gpt4free import forefront
# create an account
token = forefront.Account.create(logging=True)
print(token)
# get a response
for response in forefront.StreamingCompletion.create(token=token, prompt='hello world', model='gpt-4'):
print(response.text, end='')

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@ -1,18 +0,0 @@
import gptworldAi
# single completion
for chunk in gptworldAi.Completion.create("你是谁", "127.0.0.1:7890"):
print(chunk, end="", flush=True)
print()
# chat completion
message = []
while True:
prompt = input("请输入问题:")
message.append({"role": "user", "content": prompt})
text = ""
for chunk in gptworldAi.ChatCompletion.create(message, '127.0.0.1:7890'):
text = text + chunk
print(chunk, end="", flush=True)
print()
message.append({"role": "assistant", "content": text})

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@ -1,41 +0,0 @@
import hpgptai
#single completion
res = hpgptai.Completion.create("你是谁","127.0.0.1:7890")
print(res["reply"])
#chat completion
messages = [
{
"content": "你是谁",
"html": "你是谁",
"id": hpgptai.ChatCompletion.randomStr(),
"role": "user",
"who": "User: ",
},
{
"content": "我是一位AI助手专门为您提供各种服务和支持。我可以回答您的问题帮助您解决问题提供相关信息并执行一些任务。请随时告诉我您需要什么帮助。",
"html": "我是一位AI助手专门为您提供各种服务和支持。我可以回答您的问题帮助您解决问题提供相关信息并执行一些任务。请随时告诉我您需要什么帮助。",
"id": hpgptai.ChatCompletion.randomStr(),
"role": "assistant",
"who": "AI: ",
},
{
"content": "我上一句问的是什么?",
"html": "我上一句问的是什么?",
"id": hpgptai.ChatCompletion.randomStr(),
"role": "user",
"who": "User: ",
},
]
res = hpgptai.ChatCompletion.create(messages,proxy="127.0.0.1:7890")
print(res["reply"])

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