Spaces:
Running
Running
File size: 862 Bytes
2c72ae7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 |
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
import os
import requests
app = FastAPI()
API_KEY = os.environ.get('GEMINI_KEY') # This gets the secret
class ChatRequest(BaseModel):
message: str
context: str
@app.post("/chat")
async def chat_endpoint(request: ChatRequest):
try:
response = requests.post(
"https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent",
params={"key": API_KEY},
json={
"contents": [{
"parts": [{
"text": f"Using this context: {request.context[:3000]}\nAnswer: {request.message}"
}]
}]
}
)
return response.json()
except Exception as e:
raise HTTPException(status_code=500, detail=str(e)) |