Create main.py
Browse files
main.py
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from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel
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from typing import List, Dict, Any
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import re
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import random
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import string
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from aiohttp import ClientSession
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# Mocking the ImageResponse and to_data_uri functions
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class ImageResponse:
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def __init__(self, url: str, alt: str):
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self.url = url
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self.alt = alt
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def to_data_uri(image: Any) -> str:
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# Placeholder for actual image encoding
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return "data:image/png;base64,..." # Replace with actual base64 data
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class AsyncGeneratorProvider:
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pass
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class ProviderModelMixin:
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pass
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class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://www.blackbox.ai"
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api_endpoint = "https://www.blackbox.ai/api/chat"
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default_model = 'blackbox'
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models = ['blackbox', 'gemini-1.5-flash', "llama-3.1-8b"]
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@classmethod
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async def create_async_generator(cls, model: str, messages: List[Dict[str, str]]) -> Any:
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# Mock response for demonstration
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return {"content": "This is a mock response from the model."}
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app = FastAPI()
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class Message(BaseModel):
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role: str
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content: str
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class ChatRequest(BaseModel):
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model: str
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messages: List[Message]
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@app.post("/v1/chat/completions")
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async def chat_completions(request: ChatRequest):
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messages = [{"role": msg.role, "content": msg.content} for msg in request.messages]
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response = await Blackbox.create_async_generator(
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model=request.model,
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messages=messages
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)
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return {
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"id": "chatcmpl-1234", # Example ID, generate as needed
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"object": "chat.completion",
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"created": 1690000000, # Replace with actual timestamp
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"model": request.model,
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"choices": [
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{
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"message": {
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"role": "assistant",
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"content": response['content']
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},
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"finish_reason": "stop",
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"index": 0
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}
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]
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}
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