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import os,sys |
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import requests |
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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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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) |