app.py

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
import os, requests

app = FastAPI()

class ChatRequest(BaseModel):
    message: str

@app.get("/")
def root():
    return {"name": "Textilindo AI Power", "model": os.getenv("DEFAULT_MODEL", "meta-llama/Llama-3.1-8B-Instruct")}

@app.get("/health")
def health():
    return {"status": "healthy"}

@app.post("/chat")
def chat(body: ChatRequest):
    endpoint = (os.getenv("HF_ENDPOINT_URL") or "").rstrip("/")
    token = os.getenv("HUGGINGFACE_API_KEY") or os.getenv("HF_TOKEN") or os.getenv("HUGGINGFAC_API_KEY_2")
    model = os.getenv("DEFAULT_MODEL", "meta-llama/Llama-3.1-8B-Instruct")
    if not endpoint or not token:
        raise HTTPException(status_code=500, detail="Endpoint or token not configured")
    url = f"{endpoint}/v1/chat/completions"
    headers = {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
    payload = {"model": model, "messages": [{"role": "system", "content": "Jawablah singkat dalam Bahasa Indonesia."}, {"role": "user", "content": body.message}], "temperature": 0.5, "top_p": 0.9, "max_tokens": 180}
    r = requests.post(url, headers=headers, json=payload, timeout=60)
    if r.status_code >= 400:
        raise HTTPException(status_code=502, detail=r.text)
    data = r.json()
    content = (data.get("choices") or [{}])[0].get("message", {}).get("content")
    return {"response": content}