gpt4free/g4f/Provider/CodeLinkAva.py

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from __future__ import annotations
from aiohttp import ClientSession
import json
from ..typing import AsyncGenerator
from .base_provider import AsyncGeneratorProvider
class CodeLinkAva(AsyncGeneratorProvider):
url = "https://ava-ai-ef611.web.app"
supports_gpt_35_turbo = True
working = True
@classmethod
async def create_async_generator(
cls,
model: str,
messages: list[dict[str, str]],
**kwargs
) -> AsyncGenerator:
headers = {
"User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36",
"Accept" : "*/*",
"Accept-language" : "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
"Origin" : cls.url,
"Referer" : cls.url + "/",
"Sec-Fetch-Dest" : "empty",
"Sec-Fetch-Mode" : "cors",
"Sec-Fetch-Site" : "same-origin",
}
async with ClientSession(
headers=headers
) as session:
data = {
"messages": messages,
"temperature": 0.6,
"stream": True,
**kwargs
}
async with session.post("https://ava-alpha-api.codelink.io/api/chat", json=data) as response:
response.raise_for_status()
async for line in response.content:
line = line.decode()
if line.startswith("data: "):
if line.startswith("data: [DONE]"):
break
line = json.loads(line[6:-1])
content = line["choices"][0]["delta"].get("content")
if content:
yield content
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("temperature", "float"),
]
param = ", ".join([": ".join(p) for p in params])
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return f"g4f.provider.{cls.__name__} supports: ({param})"