Create main.py
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main.py
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import os, time, uuid
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from fastapi import FastAPI, HTTPException
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from meta_ai_api import MetaAI
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app = FastAPI()
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# Read model name from env
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MODEL = os.getenv("MODEL_NAME", "llama-3-70b")
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# Init the MetaAI wrapper
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meta = MetaAI()
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@app.post("/v1/chat/completions")
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async def chat_completions(body: dict):
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msgs = body.get("messages")
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if not msgs:
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raise HTTPException(400, "messages field is required")
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# Build a single prompt
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prompt = "\n".join(f"{m['role']}: {m['content']}" for m in msgs)
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resp = meta.prompt(message=prompt)
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return {
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"id": f"meta-{uuid.uuid4()}",
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"object": "chat.completion",
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"created": int(time.time()),
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"model": MODEL,
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"choices": [
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{
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"index": 0,
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"message": {"role": "assistant", "content": resp["message"]},
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"finish_reason": "stop"
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}
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],
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"usage": {"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0}
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}
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