backup_gemini_llm.py

from fastapi import FastAPI
from pydantic import BaseModel
from fastapi.middleware.cors import CORSMiddleware
import google.generativeai as genai
import os
from dotenv import load_dotenv

# Load variables from .env file
load_dotenv()
# ✅ Configure API Key (set GOOGLE_API_KEY in environment variables)
genai.configure(api_key=os.environ["GOOGLE_API_KEY"])

app = FastAPI()

# ✅ Allow all origins
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],  
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

class ChatRequest(BaseModel):
    message: str

# ✅ Load Gemini model (example: gemini-1.5-flash is lightweight & fast)
model = genai.GenerativeModel("gemini-2.5-flash")

@app.get("/")
def root():
    return {"status": "ok"}

@app.post("/chat")
def chat(request: ChatRequest):
    """Chat endpoint using Gemini"""
    response = model.generate_content(request.message)
    return {"reply": response.text}