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app.py

@@ -42,10 +42,9 @@ def predict_sales():
         'Store_Type': data['Store_Type'],
         'Product_Id_char': data['Product_Id_char'],
         'Store_Age_Years': data['Store_Age_Years'],
-        'Product_Type_Cat': data['Product_Type_Cat']
+        'Product_Type_Category': data['Product_Type_Category']
     }
 
-
     # Convert the extracted data into a DataFrame
     input_data = pd.DataFrame([sample])
 

requirements.txt

@@ -1,2 +1,13 @@
+pandas==2.2.2
+numpy==2.0.2
+scikit-learn==1.6.1
+seaborn==0.13.2
+joblib==1.4.2
+xgboost==2.1.4
+joblib==1.4.2
+Werkzeug==2.2.2
+flask==2.2.2
+gunicorn==20.1.0
 requests==2.32.3
-streamlit==1.45.0
+uvicorn[standard]
+streamlit==1.43.2