move documenation to individual folder
This commit is contained in:
t.me/xtekky
parent
0ed755680e
commit
789b209d03
289
README.md
289
README.md
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@ -43,292 +43,23 @@ These sites will be reverse engineered but need account access:
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## Usage Examples <a name="usage-examples"></a>
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### Example: `quora (poe)` (use like openai pypi package) - GPT-4 <a name="example-poe"></a>
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```python
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# quora model names: (use left key as argument)
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models = {
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'sage' : 'capybara',
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'gpt-4' : 'beaver',
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'claude-v1.2' : 'a2_2',
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'claude-instant-v1.0' : 'a2',
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'gpt-3.5-turbo' : 'chinchilla'
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}
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```
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#### !! new: bot creation
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```python
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# import quora (poe) package
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import quora
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# create account
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# make shure to set enable_bot_creation to True
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token = quora.Account.create(logging = True, enable_bot_creation=True)
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model = quora.Model.create(
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token = token,
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model = 'gpt-3.5-turbo', # or claude-instant-v1.0
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system_prompt = 'you are ChatGPT a large language model ...'
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)
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print(model.name) # gptx....
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# streaming response
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for response in quora.StreamingCompletion.create(
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custom_model = model.name,
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prompt ='hello world',
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token = token):
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print(response.completion.choices[0].text)
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```
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#### Normal Response:
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```python
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response = quora.Completion.create(model = 'gpt-4',
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prompt = 'hello world',
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token = token)
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print(response.completion.choices[0].text)
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```
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### Example: `phind` (use like openai pypi package) <a name="example-phind"></a>
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```python
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import phind
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# set cf_clearance cookie
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phind.cf_clearance = 'xx.xx-1682166681-0-160'
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prompt = 'who won the quatar world cup'
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# help needed: not getting newlines from the stream, please submit a PR if you know how to fix this
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# stream completion
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for result in phind.StreamingCompletion.create(
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model = 'gpt-4',
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prompt = prompt,
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results = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
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creative = False,
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detailed = False,
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codeContext = ''): # up to 3000 chars of code
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print(result.completion.choices[0].text, end='', flush=True)
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# normal completion
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result = phind.Completion.create(
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model = 'gpt-4',
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prompt = prompt,
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results = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
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creative = False,
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detailed = False,
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codeContext = '') # up to 3000 chars of code
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print(result.completion.choices[0].text)
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```
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### Example: `t3nsor` (use like openai pypi package) <a name="example-t3nsor"></a>
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```python
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# Import t3nsor
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import t3nsor
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# t3nsor.Completion.create
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# t3nsor.StreamCompletion.create
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[...]
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```
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#### Example Chatbot
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```python
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messages = []
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while True:
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user = input('you: ')
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t3nsor_cmpl = t3nsor.Completion.create(
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prompt = user,
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messages = messages
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)
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print('gpt:', t3nsor_cmpl.completion.choices[0].text)
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messages.extend([
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{'role': 'user', 'content': user },
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{'role': 'assistant', 'content': t3nsor_cmpl.completion.choices[0].text}
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])
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```
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#### Streaming Response:
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```python
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for response in t3nsor.StreamCompletion.create(
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prompt = 'write python code to reverse a string',
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messages = []):
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print(response.completion.choices[0].text)
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```
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### Example: `ora` (use like openai pypi package) <a name="example-ora"></a>
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### load model (new)
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more gpt4 models in `/testing/ora_gpt4.py`
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```python
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# normal gpt-4: b8b12eaa-5d47-44d3-92a6-4d706f2bcacf
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model = ora.CompletionModel.load(chatbot_id, 'gpt-4') # or gpt-3.5
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```
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#### create model / chatbot:
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```python
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# inport ora
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import ora
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# create model
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model = ora.CompletionModel.create(
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system_prompt = 'You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible',
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description = 'ChatGPT Openai Language Model',
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name = 'gpt-3.5')
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# init conversation (will give you a conversationId)
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init = ora.Completion.create(
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model = model,
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prompt = 'hello world')
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print(init.completion.choices[0].text)
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while True:
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# pass in conversationId to continue conversation
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prompt = input('>>> ')
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response = ora.Completion.create(
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model = model,
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prompt = prompt,
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includeHistory = True, # remember history
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conversationId = init.id)
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print(response.completion.choices[0].text)
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```
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### Example: `writesonic` (use like openai pypi package) <a name="example-writesonic"></a>
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```python
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# import writesonic
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import writesonic
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# create account (3-4s)
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account = writesonic.Account.create(logging = True)
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# with loging:
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# 2023-04-06 21:50:25 INFO __main__ -> register success : '{"id":"51aa0809-3053-44f7-922a...' (2s)
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# 2023-04-06 21:50:25 INFO __main__ -> id : '51aa0809-3053-44f7-922a-2b85d8d07edf'
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# 2023-04-06 21:50:25 INFO __main__ -> token : 'eyJhbGciOiJIUzI1NiIsInR5cCI6Ik...'
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# 2023-04-06 21:50:28 INFO __main__ -> got key : '194158c4-d249-4be0-82c6-5049e869533c' (2s)
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# simple completion
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response = writesonic.Completion.create(
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api_key = account.key,
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prompt = 'hello world'
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)
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print(response.completion.choices[0].text) # Hello! How may I assist you today?
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# conversation
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response = writesonic.Completion.create(
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api_key = account.key,
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prompt = 'what is my name ?',
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enable_memory = True,
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history_data = [
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{
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'is_sent': True,
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'message': 'my name is Tekky'
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},
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{
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'is_sent': False,
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'message': 'hello Tekky'
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}
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]
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)
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print(response.completion.choices[0].text) # Your name is Tekky.
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# enable internet
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response = writesonic.Completion.create(
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api_key = account.key,
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prompt = 'who won the quatar world cup ?',
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enable_google_results = True
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)
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print(response.completion.choices[0].text) # Argentina won the 2022 FIFA World Cup tournament held in Qatar ...
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```
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### Example: `you` (use like openai pypi package) <a name="example-you"></a>
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```python
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import you
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# simple request with links and details
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response = you.Completion.create(
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prompt = "hello world",
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detailed = True,
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includelinks = True,)
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print(response)
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# {
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# "response": "...",
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# "links": [...],
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# "extra": {...},
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# "slots": {...}
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# }
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# }
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#chatbot
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chat = []
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while True:
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prompt = input("You: ")
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response = you.Completion.create(
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prompt = prompt,
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chat = chat)
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print("Bot:", response["response"])
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chat.append({"question": prompt, "answer": response["response"]})
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```
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| NOTE: the instructions of each module has been moved in the folder of the module itsself|
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| --- |
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## Dependencies
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The repository is written in Python and requires the following packages:
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* websocket-client
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* requests
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* tls-client
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* pypasser
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* names
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* colorama
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* curl_cffi
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You can install these packages using the provided `requirements.txt` file.
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## Repository structure:
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.
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├── ora/
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├── quora/ (/poe)
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├── t3nsor/
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├── testing/
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├── writesonic/
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├── you/
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├── README.md <-- this file.
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└── requirements.txt
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## Star History
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[](https://star-history.com/#xtekky/openai-gpt4&Timeline)
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install with:
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```sh
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pip3 install -r requirements.txt
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```
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## Copyright:
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This program is licensed under the [GNU GPL v3](https://www.gnu.org/licenses/gpl-3.0.txt)
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41
ora/README.md
Normal file
41
ora/README.md
Normal file
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@ -0,0 +1,41 @@
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### Example: `ora` (use like openai pypi package) <a name="example-ora"></a>
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### load model (new)
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more gpt4 models in `/testing/ora_gpt4.py`
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```python
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# normal gpt-4: b8b12eaa-5d47-44d3-92a6-4d706f2bcacf
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model = ora.CompletionModel.load(chatbot_id, 'gpt-4') # or gpt-3.5
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```
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||||
|
||||
#### create model / chatbot:
|
||||
```python
|
||||
# inport ora
|
||||
import ora
|
||||
|
||||
# create model
|
||||
model = ora.CompletionModel.create(
|
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system_prompt = 'You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible',
|
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description = 'ChatGPT Openai Language Model',
|
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name = 'gpt-3.5')
|
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|
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# init conversation (will give you a conversationId)
|
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init = ora.Completion.create(
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model = model,
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prompt = 'hello world')
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print(init.completion.choices[0].text)
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while True:
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# pass in conversationId to continue conversation
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prompt = input('>>> ')
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response = ora.Completion.create(
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model = model,
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prompt = prompt,
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includeHistory = True, # remember history
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conversationId = init.id)
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print(response.completion.choices[0].text)
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```
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33
phind/README.md
Normal file
33
phind/README.md
Normal file
|
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@ -0,0 +1,33 @@
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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
|
||||
|
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print(result.completion.choices[0].text, end='', flush=True)
|
||||
|
||||
# normal completion
|
||||
result = phind.Completion.create(
|
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model = 'gpt-4',
|
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prompt = prompt,
|
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results = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
|
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creative = False,
|
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detailed = False,
|
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codeContext = '') # up to 3000 chars of code
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||||
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print(result.completion.choices[0].text)
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```
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49
quora/README.md
Normal file
49
quora/README.md
Normal file
|
|
@ -0,0 +1,49 @@
|
|||
### 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)
|
||||
```
|
||||
42
t3nsor/README.md
Normal file
42
t3nsor/README.md
Normal file
|
|
@ -0,0 +1,42 @@
|
|||
### 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)
|
||||
```
|
||||
53
writesonic/README.md
Normal file
53
writesonic/README.md
Normal file
|
|
@ -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 ...
|
||||
```
|
||||
36
you/README.md
Normal file
36
you/README.md
Normal file
|
|
@ -0,0 +1,36 @@
|
|||
### 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"]})
|
||||
```
|
||||
Loading…
Reference in a new issue