Update app.py

app.py

@@ -63,7 +63,12 @@ model = load_model("keras_model.h5")
 
 past_100_days = data_training.tail(100)
 final_test_df = past_100_days._append(data_testing, ignore_index=True)
+print("Final_test_df")
+print(final_test_df)
 input_data = scaler.fit_transform(final_test_df)
+print("input_data")
+print(input_data.shape)
+print(input_data)
 
 #Split data in x_test and y_test
 x_test = []
@@ -74,6 +79,8 @@ for i in range(100, input_data.shape[0]):
     y_test.append(input_data[i, 0])
     
 x_test, y_test = np.array(x_test), np.array(y_test)
+print(x_test.shape)
+print(y_test.shape)
 
 y_predicted = model.predict(x_test)
 print("Predicted")