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from fastapi import FastAPI, File, UploadFile, HTTPException
from fastapi.responses import HTMLResponse
from fastapi.templating import Jinja2Templates
from model import prediction, getModel
app = FastAPI()
# Templates
templates = Jinja2Templates(directory="templates")
# Load your pre-trained model
# Replace this with your actual model loading code
@app.get("/", response_class=HTMLResponse)
async def home(request: HTMLResponse):
return templates.TemplateResponse("index.html", {"request": request})
@app.post("/predict")
async def predict(file: UploadFile = File(...)):
try:
model = getModel()
test = prediction(model, file.file)
return {"prediction": str(test)}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="127.0.0.1", port=8000, debug=True)
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