Update app.py

app.py

@@ -43,22 +43,7 @@ selected_features =  [
     "APAAC24"
 ]
 
-def extract_features(sequence):
-    """Extract selected features and normalize them."""
-    all_features = AAComposition.CalculateAADipeptideComposition(sequence)  
-    feature_values = list(all_features.values())  
-    feature_array = np.array(feature_values).reshape(-1, 1)
-    feature_array = feature_array[: 420]  # Ensure we only use 420 features
-    normalized_features = scaler.transform(feature_array.T)
-    normalized_features = normalized_features.flatten()  
-
-    # Select features that match training data
-    selected_feature_dict = {feature: normalized_features[i] for i, feature in enumerate(selected_features)
-                             if feature in all_features}
-    selected_feature_df = pd.DataFrame([selected_feature_dict])
-    selected_feature_array = selected_feature_df.T.to_numpy()
 
-    return selected_feature_array
 
 def extract_features(sequence):
     """Extract selected features and normalize them."""