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app.py

@@ -46,7 +46,7 @@ input_df = pd.DataFrame([input_dict])
 
 # Make prediction when the "Predict" button is clicked
 if st.button("Predict Sales"):
-    response = requests.post("https://dutta2arnab-SuperKartSalesPredictionBackend.hf.space/v1/sales_forecast", json=input_data.to_dict(orient='records')[0])  # Send data to Flask API
+    response = requests.post("https://dutta2arnab-SuperKartSalesPredictionBackend.hf.space/v1/sales_forecast", json=input_df.to_dict(orient='records')[0])  # Send data to Flask API
     if response.status_code == 200:
         prediction = response.json()['Predicted Price (in dollars)']
         st.success(f"Predicted Sales price (in dollars): {prediction}")