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62
testing/aiservice/AiService.py
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62
testing/aiservice/AiService.py
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import os,sys
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import requests
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# from ...typing import get_type_hints
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url = "https://aiservice.vercel.app/api/chat/answer"
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model = ['gpt-3.5-turbo']
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supports_stream = False
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needs_auth = False
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def _create_completion(model: str, messages: list, stream: bool, **kwargs):
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base = ''
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for message in messages:
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base += '%s: %s\n' % (message['role'], message['content'])
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base += 'assistant:'
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headers = {
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"accept": "*/*",
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"content-type": "text/plain;charset=UTF-8",
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"sec-fetch-dest": "empty",
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"sec-fetch-mode": "cors",
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"sec-fetch-site": "same-origin",
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"Referer": "https://aiservice.vercel.app/chat",
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}
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data = {
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"input": base
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}
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response = requests.post(url, headers=headers, json=data)
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if response.status_code == 200:
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_json = response.json()
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yield _json['data']
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else:
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print(f"Error Occurred::{response.status_code}")
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return None
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# params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
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# '(%s)' % ', '.join(
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# [f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])
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# Temporary For ChatCompletion Class
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class ChatCompletion:
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@staticmethod
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def create(model: str, messages: list, provider: None or str, stream: bool = False, auth: str = False, **kwargs):
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kwargs['auth'] = auth
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if provider and needs_auth and not auth:
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print(
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f'ValueError: {provider} requires authentication (use auth="cookie or token or jwt ..." param)', file=sys.stderr)
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sys.exit(1)
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try:
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return (_create_completion(model, messages, stream, **kwargs)
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if stream else ''.join(_create_completion(model, messages, stream, **kwargs)))
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except TypeError as e:
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print(e)
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arg: str = str(e).split("'")[1]
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print(
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f"ValueError: {provider} does not support '{arg}' argument", file=sys.stderr)
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sys.exit(1)
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2
testing/aiservice/README.md
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2
testing/aiservice/README.md
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https://github.com/xtekky/gpt4free/issues/40#issuecomment-1629152431
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probably gpt-3.5
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30
testing/aiservice/testing.py
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30
testing/aiservice/testing.py
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from AiService import ChatCompletion
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# Test 1
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response = ChatCompletion.create(model="gpt-3.5-turbo",
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provider="AiService",
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stream=False,
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messages=[{'role': 'user', 'content': 'who are you?'}])
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print(response)
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# Test 2
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response = ChatCompletion.create(model="gpt-3.5-turbo",
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provider="AiService",
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stream=False,
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messages=[{'role': 'user', 'content': 'what you can do?'}])
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print(response)
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# Test 3
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response = ChatCompletion.create(model="gpt-3.5-turbo",
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provider="AiService",
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stream=False,
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messages=[
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{'role': 'user', 'content': 'now your name is Bob'},
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{'role': 'assistant', 'content': 'Hello Im Bob, you asistant'},
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{'role': 'user', 'content': 'what your name again?'},
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])
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print(response)
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