mirror of
https://github.com/xtekky/gpt4free.git
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Add OnlineGpt and TalkAi Provider Add get_random_string and get_random_hex helper Remove funcaptcha package
112 lines
2.8 KiB
Python
112 lines
2.8 KiB
Python
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import sys, re
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from pathlib import Path
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from os import path
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sys.path.append(str(Path(__file__).parent.parent.parent))
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import g4f
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g4f.debug.logging = True
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def read_code(text):
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if match := re.search(r"```(python|py|)\n(?P<code>[\S\s]+?)\n```", text):
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return match.group("code")
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def input_command():
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print("Enter/Paste the cURL command. Ctrl-D or Ctrl-Z ( windows ) to save it.")
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contents = []
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while True:
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try:
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line = input()
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except EOFError:
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break
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contents.append(line)
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return "\n".join(contents)
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name = input("Name: ")
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provider_path = f"g4f/Provider/{name}.py"
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example = """
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from __future__ import annotations
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from aiohttp import ClientSession
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from ..typing import AsyncResult, Messages
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from .base_provider import AsyncGeneratorProvider
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from .helper import format_prompt
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class ChatGpt(AsyncGeneratorProvider):
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url = "https://chat-gpt.com"
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working = True
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supports_gpt_35_turbo = True
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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proxy: str = None,
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**kwargs
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) -> AsyncResult:
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headers = {
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"authority": "chat-gpt.com",
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"accept": "application/json",
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"origin": cls.url,
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"referer": f"{cls.url}/chat",
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}
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async with ClientSession(headers=headers) as session:
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prompt = format_prompt(messages)
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data = {
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"prompt": prompt,
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"purpose": "",
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}
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async with session.post(f"{cls.url}/api/chat", json=data, proxy=proxy) as response:
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response.raise_for_status()
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async for chunk in response.content:
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if chunk:
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yield chunk.decode()
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"""
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if not path.isfile(provider_path):
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command = input_command()
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prompt = f"""
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Create a provider from a cURL command. The command is:
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```bash
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{command}
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```
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A example for a provider:
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```py
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{example}
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```
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The name for the provider class:
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{name}
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Replace "hello" with `format_prompt(messages)`.
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And replace "gpt-3.5-turbo" with `model`.
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"""
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print("Create code...")
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response = []
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for chunk in g4f.ChatCompletion.create(
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model=g4f.models.gpt_35_long,
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messages=[{"role": "user", "content": prompt}],
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timeout=300,
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stream=True,
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):
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print(chunk, end="", flush=True)
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response.append(chunk)
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print()
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response = "".join(response)
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if code := read_code(response):
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with open(provider_path, "w") as file:
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file.write(code)
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print("Saved at:", provider_path)
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with open("g4f/Provider/__init__.py", "a") as file:
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file.write(f"\nfrom .{name} import {name}")
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else:
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with open(provider_path, "r") as file:
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code = file.read()
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