Update app.py

app.py

@@ -65,7 +65,6 @@ class SpeechEmotionRecognizer:
             # Make prediction
             prediction = self.model.predict(mel_spec)
             emotion_index = np.argmax(prediction)
-            confidence = float(prediction[0][emotion_index])
             
             # Create results dictionary with confidence scores
             results = {emotion: float(pred) for emotion, pred in zip(self.emotion_labels, prediction[0])}
@@ -91,16 +90,14 @@ demo = gr.Interface(
     fn=process_audio,
     inputs=[
         gr.Audio(
-            source="microphone", 
+            label="Record audio (4 seconds)",
             type="filepath",
-            label="Record audio (4 seconds)"
+            sources=["microphone"]  # Updated from 'source' to 'sources'
         )
     ],
     outputs=gr.Label(num_top_classes=6),
     title="Speech Emotion Recognition",
-    description="Record a 4-second audio clip to detect the emotion in your voice.",
-    examples=None,  # You can add example audio files here
-    theme=gr.themes.Base()
+    description="Record a 4-second audio clip to detect the emotion in your voice."
 )
 
 # Launch the app