move documenation to individual folder

This commit is contained in:
t.me/xtekky 2023-04-22 13:54:01 +01:00
parent 0ed755680e
commit 789b209d03
8 changed files with 264 additions and 279 deletions

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@ -43,292 +43,23 @@ These sites will be reverse engineered but need account access:
## Usage Examples <a name="usage-examples"></a>
### 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
import quora
# create account
# make shure 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)
```
### Example: `phind` (use like openai pypi package) <a name="example-phind"></a>
```python
import phind
# set cf_clearance cookie
phind.cf_clearance = 'xx.xx-1682166681-0-160'
prompt = 'who won the quatar world cup'
# help needed: not getting newlines from the stream, please submit a PR if you know how to fix this
# stream completion
for result in phind.StreamingCompletion.create(
model = 'gpt-4',
prompt = prompt,
results = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
creative = False,
detailed = False,
codeContext = ''): # up to 3000 chars of code
print(result.completion.choices[0].text, end='', flush=True)
# normal completion
result = phind.Completion.create(
model = 'gpt-4',
prompt = prompt,
results = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
creative = False,
detailed = False,
codeContext = '') # up to 3000 chars of code
print(result.completion.choices[0].text)
```
### Example: `t3nsor` (use like openai pypi package) <a name="example-t3nsor"></a>
```python
# Import t3nsor
import t3nsor
# t3nsor.Completion.create
# t3nsor.StreamCompletion.create
[...]
```
#### Example Chatbot
```python
messages = []
while True:
user = input('you: ')
t3nsor_cmpl = t3nsor.Completion.create(
prompt = user,
messages = messages
)
print('gpt:', t3nsor_cmpl.completion.choices[0].text)
messages.extend([
{'role': 'user', 'content': user },
{'role': 'assistant', 'content': t3nsor_cmpl.completion.choices[0].text}
])
```
#### Streaming Response:
```python
for response in t3nsor.StreamCompletion.create(
prompt = 'write python code to reverse a string',
messages = []):
print(response.completion.choices[0].text)
```
### Example: `ora` (use like openai pypi package) <a name="example-ora"></a>
### load model (new)
more gpt4 models in `/testing/ora_gpt4.py`
```python
# normal gpt-4: b8b12eaa-5d47-44d3-92a6-4d706f2bcacf
model = ora.CompletionModel.load(chatbot_id, 'gpt-4') # or gpt-3.5
```
#### create model / chatbot:
```python
# inport ora
import ora
# create model
model = ora.CompletionModel.create(
system_prompt = 'You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible',
description = 'ChatGPT Openai Language Model',
name = 'gpt-3.5')
# init conversation (will give you a conversationId)
init = ora.Completion.create(
model = model,
prompt = 'hello world')
print(init.completion.choices[0].text)
while True:
# pass in conversationId to continue conversation
prompt = input('>>> ')
response = ora.Completion.create(
model = model,
prompt = prompt,
includeHistory = True, # remember history
conversationId = init.id)
print(response.completion.choices[0].text)
```
### Example: `writesonic` (use like openai pypi package) <a name="example-writesonic"></a>
```python
# import writesonic
import writesonic
# create account (3-4s)
account = writesonic.Account.create(logging = True)
# with loging:
# 2023-04-06 21:50:25 INFO __main__ -> register success : '{"id":"51aa0809-3053-44f7-922a...' (2s)
# 2023-04-06 21:50:25 INFO __main__ -> id : '51aa0809-3053-44f7-922a-2b85d8d07edf'
# 2023-04-06 21:50:25 INFO __main__ -> token : 'eyJhbGciOiJIUzI1NiIsInR5cCI6Ik...'
# 2023-04-06 21:50:28 INFO __main__ -> got key : '194158c4-d249-4be0-82c6-5049e869533c' (2s)
# simple completion
response = writesonic.Completion.create(
api_key = account.key,
prompt = 'hello world'
)
print(response.completion.choices[0].text) # Hello! How may I assist you today?
# conversation
response = writesonic.Completion.create(
api_key = account.key,
prompt = 'what is my name ?',
enable_memory = True,
history_data = [
{
'is_sent': True,
'message': 'my name is Tekky'
},
{
'is_sent': False,
'message': 'hello Tekky'
}
]
)
print(response.completion.choices[0].text) # Your name is Tekky.
# enable internet
response = writesonic.Completion.create(
api_key = account.key,
prompt = 'who won the quatar world cup ?',
enable_google_results = True
)
print(response.completion.choices[0].text) # Argentina won the 2022 FIFA World Cup tournament held in Qatar ...
```
### Example: `you` (use like openai pypi package) <a name="example-you"></a>
```python
import you
# simple request with links and details
response = you.Completion.create(
prompt = "hello world",
detailed = True,
includelinks = True,)
print(response)
# {
# "response": "...",
# "links": [...],
# "extra": {...},
# "slots": {...}
# }
# }
#chatbot
chat = []
while True:
prompt = input("You: ")
response = you.Completion.create(
prompt = prompt,
chat = chat)
print("Bot:", response["response"])
chat.append({"question": prompt, "answer": response["response"]})
```
| NOTE: the instructions of each module has been moved in the folder of the module itsself|
| --- |
## Dependencies
The repository is written in Python and requires the following packages:
* websocket-client
* requests
* tls-client
* pypasser
* names
* colorama
* curl_cffi
You can install these packages using the provided `requirements.txt` file.
## Repository structure:
.
├── ora/
├── quora/ (/poe)
├── t3nsor/
├── testing/
├── writesonic/
├── you/
├── README.md <-- this file.
└── requirements.txt
## Star History
[![Star History Chart](https://api.star-history.com/svg?repos=xtekky/openai-gpt4&type=Timeline)](https://star-history.com/#xtekky/openai-gpt4&Timeline)
install with:
```sh
pip3 install -r requirements.txt
```
## Copyright:
This program is licensed under the [GNU GPL v3](https://www.gnu.org/licenses/gpl-3.0.txt)

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### Example: `ora` (use like openai pypi package) <a name="example-ora"></a>
### load model (new)
more gpt4 models in `/testing/ora_gpt4.py`
```python
# normal gpt-4: b8b12eaa-5d47-44d3-92a6-4d706f2bcacf
model = ora.CompletionModel.load(chatbot_id, 'gpt-4') # or gpt-3.5
```
#### create model / chatbot:
```python
# inport ora
import ora
# create model
model = ora.CompletionModel.create(
system_prompt = 'You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible',
description = 'ChatGPT Openai Language Model',
name = 'gpt-3.5')
# init conversation (will give you a conversationId)
init = ora.Completion.create(
model = model,
prompt = 'hello world')
print(init.completion.choices[0].text)
while True:
# pass in conversationId to continue conversation
prompt = input('>>> ')
response = ora.Completion.create(
model = model,
prompt = prompt,
includeHistory = True, # remember history
conversationId = init.id)
print(response.completion.choices[0].text)
```

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### Example: `phind` (use like openai pypi package) <a name="example-phind"></a>
```python
import phind
# set cf_clearance cookie
phind.cf_clearance = 'xx.xx-1682166681-0-160'
prompt = 'who won the quatar world cup'
# help needed: not getting newlines from the stream, please submit a PR if you know how to fix this
# stream completion
for result in phind.StreamingCompletion.create(
model = 'gpt-4',
prompt = prompt,
results = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
creative = False,
detailed = False,
codeContext = ''): # up to 3000 chars of code
print(result.completion.choices[0].text, end='', flush=True)
# normal completion
result = phind.Completion.create(
model = 'gpt-4',
prompt = prompt,
results = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
creative = False,
detailed = False,
codeContext = '') # up to 3000 chars of code
print(result.completion.choices[0].text)
```

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### 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
import quora
# create account
# make shure 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)
```

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### Example: `t3nsor` (use like openai pypi package) <a name="example-t3nsor"></a>
```python
# Import t3nsor
import t3nsor
# t3nsor.Completion.create
# t3nsor.StreamCompletion.create
[...]
```
#### Example Chatbot
```python
messages = []
while True:
user = input('you: ')
t3nsor_cmpl = t3nsor.Completion.create(
prompt = user,
messages = messages
)
print('gpt:', t3nsor_cmpl.completion.choices[0].text)
messages.extend([
{'role': 'user', 'content': user },
{'role': 'assistant', 'content': t3nsor_cmpl.completion.choices[0].text}
])
```
#### Streaming Response:
```python
for response in t3nsor.StreamCompletion.create(
prompt = 'write python code to reverse a string',
messages = []):
print(response.completion.choices[0].text)
```

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@ -0,0 +1,53 @@
### Example: `writesonic` (use like openai pypi package) <a name="example-writesonic"></a>
```python
# import writesonic
import writesonic
# create account (3-4s)
account = writesonic.Account.create(logging = True)
# with loging:
# 2023-04-06 21:50:25 INFO __main__ -> register success : '{"id":"51aa0809-3053-44f7-922a...' (2s)
# 2023-04-06 21:50:25 INFO __main__ -> id : '51aa0809-3053-44f7-922a-2b85d8d07edf'
# 2023-04-06 21:50:25 INFO __main__ -> token : 'eyJhbGciOiJIUzI1NiIsInR5cCI6Ik...'
# 2023-04-06 21:50:28 INFO __main__ -> got key : '194158c4-d249-4be0-82c6-5049e869533c' (2s)
# simple completion
response = writesonic.Completion.create(
api_key = account.key,
prompt = 'hello world'
)
print(response.completion.choices[0].text) # Hello! How may I assist you today?
# conversation
response = writesonic.Completion.create(
api_key = account.key,
prompt = 'what is my name ?',
enable_memory = True,
history_data = [
{
'is_sent': True,
'message': 'my name is Tekky'
},
{
'is_sent': False,
'message': 'hello Tekky'
}
]
)
print(response.completion.choices[0].text) # Your name is Tekky.
# enable internet
response = writesonic.Completion.create(
api_key = account.key,
prompt = 'who won the quatar world cup ?',
enable_google_results = True
)
print(response.completion.choices[0].text) # Argentina won the 2022 FIFA World Cup tournament held in Qatar ...
```

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### Example: `you` (use like openai pypi package) <a name="example-you"></a>
```python
import you
# simple request with links and details
response = you.Completion.create(
prompt = "hello world",
detailed = True,
includelinks = True,)
print(response)
# {
# "response": "...",
# "links": [...],
# "extra": {...},
# "slots": {...}
# }
# }
#chatbot
chat = []
while True:
prompt = input("You: ")
response = you.Completion.create(
prompt = prompt,
chat = chat)
print("Bot:", response["response"])
chat.append({"question": prompt, "answer": response["response"]})
```