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from __future__ import annotations
import json
from aiohttp import ClientSession
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from .helper import format_prompt
class FreeChatgpt(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://chat.chatgpt.org.uk"
api_endpoint = "/api/openai/v1/chat/completions"
working = True
default_model = '@cf/qwen/qwen1.5-14b-chat-awq'
models = [
'@cf/qwen/qwen1.5-14b-chat-awq',
'SparkDesk-v1.1',
'Qwen2-7B-Instruct',
'glm4-9B-chat',
'chatglm3-6B',
'Yi-1.5-9B-Chat',
]
model_aliases = {
"qwen-1.5-14b": "@cf/qwen/qwen1.5-14b-chat-awq",
"sparkdesk-v1.1": "SparkDesk-v1.1",
"qwen2-7b": "Qwen2-7B-Instruct",
"glm4-9b": "glm4-9B-chat",
"glm3-6b": "chatglm3-6B",
"yi-1.5-9b": "Yi-1.5-9B-Chat",
}
@classmethod
def get_model(cls, model: str) -> str:
if model in cls.models:
return model
elif model.lower() in cls.model_aliases:
return cls.model_aliases[model.lower()]
else:
return cls.default_model
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
model = cls.get_model(model)
headers = {
"accept": "application/json, text/event-stream",
"accept-language": "en-US,en;q=0.9",
"content-type": "application/json",
"dnt": "1",
"origin": cls.url,
"referer": f"{cls.url}/",
"sec-ch-ua": '"Not/A)Brand";v="8", "Chromium";v="126"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Linux"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36",
}
async with ClientSession(headers=headers) as session:
prompt = format_prompt(messages)
data = {
"messages": [
{"role": "system", "content": "\nYou are ChatGPT, a large language model trained by OpenAI.\nKnowledge cutoff: 2021-09\nCurrent model: gpt-3.5-turbo\nCurrent time: Thu Jul 04 2024 21:35:59 GMT+0300 (Eastern European Summer Time)\nLatex inline: \\(x^2\\) \nLatex block: $$e=mc^2$$\n\n"},
{"role": "user", "content": prompt}
],
"stream": True,
"model": model,
"temperature": 0.5,
"presence_penalty": 0,
"frequency_penalty": 0,
"top_p": 1
}
async with session.post(f"{cls.url}{cls.api_endpoint}", json=data, proxy=proxy) as response:
response.raise_for_status()
accumulated_text = ""
async for line in response.content:
if line:
line_str = line.decode().strip()
if line_str == "data: [DONE]":
yield accumulated_text
break
elif line_str.startswith("data: "):
try:
chunk = json.loads(line_str[6:])
delta_content = chunk.get("choices", [{}])[0].get("delta", {}).get("content", "")
accumulated_text += delta_content
yield delta_content # Yield each chunk of content
except json.JSONDecodeError:
pass
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