app.py

from fastapi import FastAPI, File, UploadFile
from fastapi.middleware.cors import CORSMiddleware
import joblib
import pandas as pd
import numpy as np

app = FastAPI()

# Add CORS middleware
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Load the model
model = joblib.load('superkart_sales_model.joblib')

@app.get("/")
async def root():
    return {"message": "SuperKart Sales Prediction API"}

@app.post("/predict")
async def predict(file: UploadFile = File(...)):
    # Read the uploaded CSV file
    df = pd.read_csv(file.file)
    
    # Make predictions
    predictions = model.predict(df)
    
    return {"predictions": predictions.tolist()}

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8000)