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app.py

@@ -47,6 +47,7 @@ def predict_store_total_sales():
     # Convert the extracted data into a Pandas DataFrame
     input_data = pd.DataFrame([sample])
 
+    st.write("Converted Json:", input_data.to_dict(orient='records')[0])
     # Make prediction (get log_sales)
     predicted_log_total_sales = model.predict(input_data)[0]