Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 import joblib
 import numpy as np
-import propy
+from propy3 import AAComposition
 from sklearn.preprocessing import MinMaxScaler
 
 # Load trained SVM model and scaler (Ensure both files exist in the Space)
@@ -11,16 +11,11 @@ scaler = MinMaxScaler()
 def extract_features(sequence):
     """Calculate AAC, Dipeptide Composition, and normalize features."""
     # Calculate Amino Acid Composition (AAC)
-    aac = propy.AAComposition.CalculateAAC(sequence)
-    
-    # Calculate Dipeptide Composition
-    dipeptide_comp = propy.AAComposition.CalculateAADipeptideComposition(sequence)
-    
-    # Combine both features (AAC and Dipeptide Composition)
-    features = np.concatenate((aac, dipeptide_comp))
+    aac = AAComposition.CalculateAADipeptideComposition(sequence)
+
     
     # Normalize with pre-trained scaler (avoid fitting new data)
-    normalized_features = scaler.transform([features])
+    normalized_features = scaler.transform([aac])
     
     return normalized_features