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Adding a new provider with support for models
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from __future__ import annotations | ||
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from aiohttp import ClientSession | ||
import json | ||
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin | ||
from ..typing import AsyncResult, Messages | ||
from .helper import format_prompt | ||
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class Bixin123(AsyncGeneratorProvider, ProviderModelMixin): | ||
url = "https://chat.bixin123.com" | ||
api_endpoint = "https://chat.bixin123.com/api/chatgpt/chat-process" | ||
working = True | ||
supports_gpt_35_turbo = True | ||
supports_gpt_4 = True | ||
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default_model = 'gpt-3.5-turbo-0125' | ||
models = ['gpt-3.5-turbo-0125', 'gpt-3.5-turbo-16k-0613', 'gpt-4-turbo', 'qwen-turbo'] | ||
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model_aliases = { | ||
"gpt-3.5-turbo": "gpt-3.5-turbo-0125", | ||
"gpt-3.5-turbo": "gpt-3.5-turbo-16k-0613", | ||
} | ||
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@classmethod | ||
def get_model(cls, model: str) -> str: | ||
if model in cls.models: | ||
return model | ||
elif model in cls.model_aliases: | ||
return cls.model_aliases[model] | ||
else: | ||
return cls.default_model | ||
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@classmethod | ||
async def create_async_generator( | ||
cls, | ||
model: str, | ||
messages: Messages, | ||
proxy: str = None, | ||
**kwargs | ||
) -> AsyncResult: | ||
model = cls.get_model(model) | ||
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headers = { | ||
"accept": "application/json, text/plain, */*", | ||
"accept-language": "en-US,en;q=0.9", | ||
"cache-control": "no-cache", | ||
"content-type": "application/json", | ||
"fingerprint": "988148794", | ||
"origin": cls.url, | ||
"pragma": "no-cache", | ||
"priority": "u=1, i", | ||
"referer": f"{cls.url}/chat", | ||
"sec-ch-ua": '"Chromium";v="127", "Not)A;Brand";v="99"', | ||
"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/127.0.0.0 Safari/537.36", | ||
"x-website-domain": "chat.bixin123.com", | ||
} | ||
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async with ClientSession(headers=headers) as session: | ||
prompt = format_prompt(messages) | ||
data = { | ||
"prompt": prompt, | ||
"options": { | ||
"usingNetwork": False, | ||
"file": "" | ||
} | ||
} | ||
async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response: | ||
response.raise_for_status() | ||
response_text = await response.text() | ||
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lines = response_text.strip().split("\n") | ||
last_json = None | ||
for line in reversed(lines): | ||
try: | ||
last_json = json.loads(line) | ||
break | ||
except json.JSONDecodeError: | ||
pass | ||
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if last_json: | ||
text = last_json.get("text", "") | ||
yield text | ||
else: | ||
yield "" |
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