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app.py

@@ -47,17 +47,18 @@ def predict_product_batch():
     file = request.files['file']
 
     # Read the file into a DataFrame
-    input_data = pd.read_csv(file)
+    data = pd.read_csv(file)
+    input_data = data.copy()
     input_data = input_data.drop(['Product_Id','Store_Establishment_Year','Product_Allocated_Area'],axis=1)
 
     # Make predictions for the batch data
     predictions = model.predict(input_data).tolist()
 
     # Add predictions to the DataFrame
-    input_data['Predicted_Product_Sales'] = predictions
+    data['Predicted_Product_Sales'] = predictions
 
     # Convert results to dictionary
-    result = input_data.to_dict(orient="records")
+    result = data.to_dict(orient="records")
 
     return jsonify(result)