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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) |