Update app.py

app.py

@@ -64,10 +64,10 @@ def predict_class(file_path, model, label_encoder):
     try:
         # Extract and prepare features
         features = extract_features(file_path)
-        feature_matrix, _ = prepare_input(features)
+        input_vector = prepare_input(features)
 
         # Make prediction
-        prediction = model.predict(feature_matrix)
+        prediction = model.predict(input_vector)
         predicted_index = np.argmax(prediction)
 
         # Map predicted index to class label
@@ -77,6 +77,7 @@ def predict_class(file_path, model, label_encoder):
         return f"Error in prediction: {str(e)}"
 
 
+
 # Load Pre-trained Model
 model = tf.keras.models.load_model("voice_classification_modelm.h5")