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47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
import os
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import json
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import random
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import hashlib
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import requests
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from ...typing import sha256, Dict, get_type_hints
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url = 'https://deepai.org'
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model = ['gpt-3.5-turbo']
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supports_stream = True
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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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def md5(text: str) -> str:
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return hashlib.md5(text.encode()).hexdigest()[::-1]
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def get_api_key(user_agent: str) -> str:
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part1 = str(random.randint(0, 10**11))
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part2 = md5(user_agent + md5(user_agent + md5(user_agent + part1 + "x")))
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return f"tryit-{part1}-{part2}"
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user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36'
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headers = {
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"api-key": get_api_key(user_agent),
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"user-agent": user_agent
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}
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files = {
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"chat_style": (None, "chat"),
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"chatHistory": (None, json.dumps(messages))
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}
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r = requests.post("https://api.deepai.org/chat_response", headers=headers, files=files, stream=True)
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for chunk in r.iter_content(chunk_size=None):
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r.raise_for_status()
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yield chunk.decode()
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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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