Update app.py

app.py

@@ -47,8 +47,7 @@ def extract_features(sequence):
     selected_feature_values = [all_features[feature] for feature in selected_features if feature in all_features]
 
     # Convert to NumPy array for normalization
-    feature_array = np.array(selected_feature_values)
-    feature_array.reshape(1,-1)
+    feature_array = np.array(selected_feature_values).reshape(-1,1)
     # Min-Max Normalization
     scaler = MinMaxScaler()
     normalized_features = scaler.fit_transform(feature_array).flatten()