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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}
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