mirror of
https://github.com/xtekky/gpt4free.git
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151 lines
4.9 KiB
Python
151 lines
4.9 KiB
Python
from __future__ import annotations
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from aiohttp import ClientSession
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import asyncio
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import json
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import uuid
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import cloudscraper
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from typing import AsyncGenerator
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from ..typing import AsyncResult, Messages
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from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
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from .helper import format_prompt
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class Cloudflare(AsyncGeneratorProvider, ProviderModelMixin):
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label = "Cloudflare AI"
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url = "https://playground.ai.cloudflare.com"
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api_endpoint = "https://playground.ai.cloudflare.com/api/inference"
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working = True
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supports_stream = True
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supports_system_message = True
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supports_message_history = True
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default_model = '@cf/meta/llama-3.1-8b-instruct-awq'
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models = [
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'@cf/meta/llama-2-7b-chat-fp16',
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'@cf/meta/llama-2-7b-chat-int8',
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'@cf/meta/llama-3-8b-instruct',
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'@cf/meta/llama-3-8b-instruct-awq',
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'@hf/meta-llama/meta-llama-3-8b-instruct',
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default_model,
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'@cf/meta/llama-3.1-8b-instruct-fp8',
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'@cf/meta/llama-3.2-1b-instruct',
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'@hf/mistral/mistral-7b-instruct-v0.2',
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'@cf/qwen/qwen1.5-7b-chat-awq',
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'@cf/defog/sqlcoder-7b-2',
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]
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model_aliases = {
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"llama-2-7b": "@cf/meta/llama-2-7b-chat-fp16",
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"llama-2-7b": "@cf/meta/llama-2-7b-chat-int8",
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"llama-3-8b": "@cf/meta/llama-3-8b-instruct",
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"llama-3-8b": "@cf/meta/llama-3-8b-instruct-awq",
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"llama-3-8b": "@hf/meta-llama/meta-llama-3-8b-instruct",
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"llama-3.1-8b": "@cf/meta/llama-3.1-8b-instruct-awq",
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"llama-3.1-8b": "@cf/meta/llama-3.1-8b-instruct-fp8",
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"llama-3.2-1b": "@cf/meta/llama-3.2-1b-instruct",
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"qwen-1.5-7b": "@cf/qwen/qwen1.5-7b-chat-awq",
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#"sqlcoder-7b": "@cf/defog/sqlcoder-7b-2",
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}
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@classmethod
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def get_model(cls, model: str) -> str:
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if model in cls.models:
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return model
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elif model in cls.model_aliases:
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return cls.model_aliases[model]
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else:
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return cls.default_model
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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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max_tokens: int = 2048,
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**kwargs
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) -> AsyncResult:
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model = cls.get_model(model)
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headers = {
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'Accept': 'text/event-stream',
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'Accept-Language': 'en-US,en;q=0.9',
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'Cache-Control': 'no-cache',
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'Content-Type': 'application/json',
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'Origin': cls.url,
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'Pragma': 'no-cache',
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'Referer': f'{cls.url}/',
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'Sec-Ch-Ua': '"Chromium";v="129", "Not=A?Brand";v="8"',
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'Sec-Ch-Ua-Mobile': '?0',
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'Sec-Ch-Ua-Platform': '"Linux"',
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'Sec-Fetch-Dest': 'empty',
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'Sec-Fetch-Mode': 'cors',
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'Sec-Fetch-Site': 'same-origin',
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'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36',
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}
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cookies = {
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'__cf_bm': uuid.uuid4().hex,
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}
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scraper = cloudscraper.create_scraper()
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data = {
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"messages": [
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{"role": "user", "content": format_prompt(messages)}
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],
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"lora": None,
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"model": model,
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"max_tokens": max_tokens,
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"stream": True
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}
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max_retries = 3
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full_response = ""
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for attempt in range(max_retries):
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try:
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response = scraper.post(
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cls.api_endpoint,
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headers=headers,
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cookies=cookies,
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json=data,
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stream=True,
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proxies={'http': proxy, 'https': proxy} if proxy else None
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)
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if response.status_code == 403:
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await asyncio.sleep(2 ** attempt)
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continue
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response.raise_for_status()
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for line in response.iter_lines():
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if line.startswith(b'data: '):
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if line == b'data: [DONE]':
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if full_response:
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yield full_response
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break
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try:
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content = json.loads(line[6:].decode('utf-8'))
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if 'response' in content and content['response'] != '</s>':
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yield content['response']
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except Exception:
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continue
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break
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except Exception as e:
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if attempt == max_retries - 1:
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raise
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