decentralising the Ai Industry, free gpt-4/3.5 scripts through several reverse engineered api's ( poe.com, phind.com, chat.openai.com, phind.com, writesonic.com, sqlchat.ai, t3nsor.com, you.com etc...)
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Merge pull request #875 from Lin-jun-xiang/annotations
Fix: Python versions below 3.9 cannot use `g4f`
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testing Set working=True in Liaobots, Fix bing provider, Update readme 2023-09-01 23:39:57 +02:00
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248433934-7886223b-c1d1-4260-82aa-da5741f303bb

By using this repository or any code related to it, you agree to the legal notice. The author is not responsible for any copies, forks, reuploads made by other users, or anything else related to gpt4free. This is the author's only account and repository. To prevent impersonation or irresponsible actions, please comply with the GNU GPL license this Repository uses.

This (quite censored) New Version of gpt4free, was just released so it may contain bugs. Please open an issue or contribute a PR when encountering one. P.S: Docker is for now not available but I would be happy if someone contributes a PR. The g4f GUI will be uploaded soon enough.

New

  • pypi package:
pip install -U g4f

Table of Contents:

Getting Started

Prerequisites:

  1. Download and install Python (Version 3.x is recommended).

Setting up the project:

Install using pypi
pip install -U g4f
or
  1. Clone the GitHub repository:
git clone https://github.com/xtekky/gpt4free.git
  1. Navigate to the project directory:
cd gpt4free
  1. (Recommended) Create a virtual environment to manage Python packages for your project:
python3 -m venv venv
  1. Activate the virtual environment:
    • On Windows:
    .\venv\Scripts\activate
    
    • On macOS and Linux:
    source venv/bin/activate
    
  2. Install the required Python packages from requirements.txt:
pip install -r requirements.txt
  1. Create a test.py file in the root folder and start using the repo, further Instructions are below
import g4f

...

Usage

The g4f Package

import g4f


print(g4f.Provider.Ails.params)  # supported args

# Automatic selection of provider

# streamed completion
response = g4f.ChatCompletion.create(
    model="gpt-3.5-turbo",
    messages=[{"role": "user", "content": "Hello world"}],
    stream=True,
)

for message in response:
    print(message, flush=True, end='')

# normal response
response = g4f.ChatCompletion.create(
    model=g4f.models.gpt_4,
    messages=[{"role": "user", "content": "hi"}],
)  # alterative model setting

print(response)


# Set with provider
response = g4f.ChatCompletion.create(
    model="gpt-3.5-turbo",
    provider=g4f.Provider.DeepAi,
    messages=[{"role": "user", "content": "Hello world"}],
    stream=True,
)

for message in response:
    print(message)
Providers:
from g4f.Provider import (
    Acytoo,
    Aichat,
    Ails,
    Bard,
    Bing,
    ChatgptAi,
    ChatgptLogin,
    DeepAi,
    EasyChat,
    Equing,
    GetGpt,
    H2o,
    HuggingChat,
    Opchatgpts,
    OpenAssistant,
    OpenaiChat,
    Raycast,
    Theb,
    Vercel,
    Wewordle,
    Wuguokai,
    You,
    Yqcloud
)
# Usage:
response = g4f.ChatCompletion.create(..., provider=ProviderName)
Needs cookies:

Many providers need cookies to work. In Bing you need a session, where you have passed the captcha. And in others providers you have to log-in into your account. If you run the g4l package locally, cookies from your browsers are readed with get_cookies. Else you have pass them in the parameter cookies:

import g4f
from g4f.Provider import (
    Bard,
    Bing,
    H2o,
    HuggingChat,
    OpenAssistant,
    OpenaiChat,
    You,
)
# Usage:
response = g4f.ChatCompletion.create(
    model=g4f.models.default,
    messages=[{"role": "user", "content": "Hello"}],
    provider=Bard,
    #cookies=g4f.get_cookies(".google.com"),
    cookies={"cookie_name": "value", "cookie_name2": "value2"},
    auth=True
)
Async support:

Run providers async to improve speed / performance. The full execution time corresponds to the execution time of the slowest provider.

import g4f, asyncio

async def run_async():
  _providers = [
      g4f.Provider.Bard,
      g4f.Provider.Bing,
      g4f.Provider.H2o,
      g4f.Provider.HuggingChat,
      g4f.Provider.Liaobots,
      g4f.Provider.OpenAssistant,
      g4f.Provider.OpenaiChat,
      g4f.Provider.You,
      g4f.Provider.Yqcloud,
  ]
  responses = [
      provider.create_async(
          model=None,
          messages=[{"role": "user", "content": "Hello"}],
      )
      for provider in _providers
  ]
  responses = await asyncio.gather(*responses)
  for idx, provider in enumerate(_providers):
      print(f"{provider.__name__}:", responses[idx])

asyncio.run(run_async())

interference openai-proxy api (use with openai python package)

get requirements:

pip install -r interference/requirements.txt

run server:

python3 -m interference.app
import openai

openai.api_key = ""
openai.api_base = "http://localhost:1337"


def main():
    chat_completion = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[{"role": "user", "content": "write a poem about a tree"}],
        stream=True,
    )

    if isinstance(chat_completion, dict):
        # not stream
        print(chat_completion.choices[0].message.content)
    else:
        # 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

gpt-3.5 / gpt-4

Website Provider gpt-3.5 gpt-4 Streaming Status Auth
chat.acytoo.com g4f.provider.Acytoo ✔️ Unknown
chat-gpt.org g4f.provider.Aichat ✔️ Active
ai.ls g4f.provider.Ails ✔️ ✔️ Unknown
bard.google.com g4f.provider.Bard Active ✔️
bing.com g4f.provider.Bing ✔️ ✔️ Active ✔️
chatgpt.ai g4f.provider.ChatgptAi ✔️ Unknown
opchatgpts.net g4f.provider.ChatgptLogin ✔️ Unknown
deepai.org g4f.provider.DeepAi ✔️ ✔️ Active
free.easychat.work g4f.provider.EasyChat ✔️ ✔️ Unknown
next.eqing.tech g4f.provider.Equing ✔️ ✔️ Unknown
chat.getgpt.world g4f.provider.GetGpt ✔️ ✔️ Active
gpt-gm.h2o.ai g4f.provider.H2o ✔️ Active
huggingface.co g4f.provider.HuggingChat Active ✔️
liaobots.com g4f.provider.Liaobots ✔️ ✔️ ✔️ Active
opchatgpts.net g4f.provider.Opchatgpts ✔️ Unknown
open-assistant.io g4f.provider.OpenAssistant Active ✔️
chat.openai.com g4f.provider.OpenaiChat ✔️ ✔️ ✔️ Unknown ✔️
raycast.com g4f.provider.Raycast ✔️ ✔️ ✔️ Unknown ✔️
theb.ai g4f.provider.Theb ✔️ ✔️ Unknown ✔️
play.vercel.ai g4f.provider.Vercel ✔️ Unknown
wewordle.org g4f.provider.Wewordle ✔️ Active
chat.wuguokai.xyz g4f.provider.Wuguokai ✔️ Unknown
you.com g4f.provider.You ✔️ ✔️ Active
chat9.yqcloud.top g4f.provider.Yqcloud ✔️ Active
www.aitianhu.com g4f.provider.AItianhu ✔️ Inactive
aiservice.vercel.app g4f.provider.AiService ✔️ Inactive
chat.dfehub.com g4f.provider.DfeHub ✔️ ✔️ Inactive
chat9.fastgpt.me g4f.provider.FastGpt ✔️ ✔️ Inactive
forefront.com g4f.provider.Forefront ✔️ ✔️ Inactive
supertest.lockchat.app g4f.provider.Lockchat ✔️ ✔️ ✔️ Inactive
p5.v50.ltd g4f.provider.V50 ✔️ Inactive

Other Models

Model Base Provider Provider Website
palm Google g4f.Provider.Bard bard.google.com
h2ogpt-gm-oasst1-en-2048-falcon-7b-v3 Huggingface g4f.Provider.H2o www.h2o.ai
h2ogpt-gm-oasst1-en-2048-falcon-40b-v1 Huggingface g4f.Provider.H2o www.h2o.ai
h2ogpt-gm-oasst1-en-2048-open-llama-13b Huggingface g4f.Provider.H2o www.h2o.ai
claude-instant-v1 Anthropic g4f.Provider.Vercel sdk.vercel.ai
claude-v1 Anthropic g4f.Provider.Vercel sdk.vercel.ai
claude-v2 Anthropic g4f.Provider.Vercel sdk.vercel.ai
command-light-nightly Cohere g4f.Provider.Vercel sdk.vercel.ai
command-nightly Cohere g4f.Provider.Vercel sdk.vercel.ai
gpt-neox-20b Huggingface g4f.Provider.Vercel sdk.vercel.ai
oasst-sft-1-pythia-12b Huggingface g4f.Provider.Vercel sdk.vercel.ai
oasst-sft-4-pythia-12b-epoch-3.5 Huggingface g4f.Provider.Vercel sdk.vercel.ai
santacoder Huggingface g4f.Provider.Vercel sdk.vercel.ai
bloom Huggingface g4f.Provider.Vercel sdk.vercel.ai
flan-t5-xxl Huggingface g4f.Provider.Vercel sdk.vercel.ai
code-davinci-002 OpenAI g4f.Provider.Vercel sdk.vercel.ai
gpt-3.5-turbo-16k OpenAI g4f.Provider.Vercel sdk.vercel.ai
gpt-3.5-turbo-16k-0613 OpenAI g4f.Provider.Vercel sdk.vercel.ai
gpt-4-0613 OpenAI g4f.Provider.Vercel sdk.vercel.ai
text-ada-001 OpenAI g4f.Provider.Vercel sdk.vercel.ai
text-babbage-001 OpenAI g4f.Provider.Vercel sdk.vercel.ai
text-curie-001 OpenAI g4f.Provider.Vercel sdk.vercel.ai
text-davinci-002 OpenAI g4f.Provider.Vercel sdk.vercel.ai
text-davinci-003 OpenAI g4f.Provider.Vercel sdk.vercel.ai
llama13b-v2-chat Replicate g4f.Provider.Vercel sdk.vercel.ai
llama7b-v2-chat Replicate g4f.Provider.Vercel sdk.vercel.ai
🎁 Projects Stars 📚 Forks 🛎 Issues 📬 Pull requests
gpt4free Stars Forks Issues Pull Requests
gpt4free-ts Stars Forks Issues Pull Requests
ChatGPT-Clone Stars Forks Issues Pull Requests
ChatGpt Discord Bot Stars Forks Issues Pull Requests
LangChain gpt4free Stars Forks Issues Pull Requests
ChatGpt Telegram Bot Stars Forks Issues Pull Requests
Action Translate Readme Stars Forks Issues Pull Requests
Langchain Document GPT Stars Forks Issues Pull Requests

Contribute

to add another provider, its very simple:

  1. create a new file in g4f/provider with the name of the Provider
  2. Implement a class that extends BaseProvider.
from .base_provider import BaseProvider
from ..typing import CreateResult, Any


class HogeService(BaseProvider):
    url = "http://hoge.com"
    working = True
    supports_gpt_35_turbo = True

    @staticmethod
    def create_completion(
        model: str,
        messages: list[dict[str, str]],
        stream: bool,
        **kwargs: Any,
    ) -> CreateResult:
        pass
  1. Here, you can adjust the settings, for example if the website does support streaming, set working to True...
  2. 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
  3. Add the Provider Name in g4f/provider/init.py
from .base_provider import BaseProvider
from .HogeService import HogeService

__all__ = [
  HogeService,
]
  1. You are done !, test the provider by calling it:
import g4f

response = g4f.ChatCompletion.create(model='gpt-3.5-turbo', provider=g4f.Provider.PROVIDERNAME,
                                    messages=[{"role": "user", "content": "test"}], stream=g4f.Provider.PROVIDERNAME.supports_stream)

for message in response:
    print(message, flush=True, end='')

ChatGPT clone

We are currently implementing new features and trying to scale it, but please be patient as 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

This program is licensed under the GNU GPL v3

xtekky/gpt4free: 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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