move documenation to individual folder
This commit is contained in:
289
README.md
289
README.md
@@ -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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## 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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| NOTE: the instructions of each module has been moved in the folder of the module itsself|
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| --- |
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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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||||||
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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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||||||
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||||||
```python
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||||||
import you
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||||||
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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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||||||
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print(response)
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||||||
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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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||||||
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|
||||||
#chatbot
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||||||
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|
||||||
chat = []
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||||||
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|
||||||
while True:
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|
||||||
prompt = input("You: ")
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|
||||||
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|
||||||
response = you.Completion.create(
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|
||||||
prompt = prompt,
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|
||||||
chat = chat)
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|
||||||
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|
||||||
print("Bot:", response["response"])
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||||||
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||||||
chat.append({"question": prompt, "answer": response["response"]})
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||||||
```
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||||||
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|
||||||
## Dependencies
|
## Dependencies
|
||||||
|
|
||||||
The repository is written in Python and requires the following packages:
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|
||||||
|
|
||||||
* websocket-client
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* websocket-client
|
||||||
* requests
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* requests
|
||||||
* tls-client
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* tls-client
|
||||||
|
* pypasser
|
||||||
|
* names
|
||||||
|
* colorama
|
||||||
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* curl_cffi
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||||||
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||||||
You can install these packages using the provided `requirements.txt` file.
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install with:
|
||||||
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```sh
|
||||||
## Repository structure:
|
pip3 install -r requirements.txt
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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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||||||
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||||||
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||||||
## Star History
|
|
||||||
|
|
||||||
[](https://star-history.com/#xtekky/openai-gpt4&Timeline)
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|
||||||
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||||||
|
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||||||
## Copyright:
|
## Copyright:
|
||||||
This program is licensed under the [GNU GPL v3](https://www.gnu.org/licenses/gpl-3.0.txt)
|
This program is licensed under the [GNU GPL v3](https://www.gnu.org/licenses/gpl-3.0.txt)
|
||||||
|
|||||||
41
ora/README.md
Normal file
41
ora/README.md
Normal file
@@ -0,0 +1,41 @@
|
|||||||
|
### 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)
|
||||||
|
```
|
||||||
33
phind/README.md
Normal file
33
phind/README.md
Normal file
@@ -0,0 +1,33 @@
|
|||||||
|
### 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)
|
||||||
|
```
|
||||||
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"]})
|
||||||
|
```
|
||||||
Reference in New Issue
Block a user