Update app.py

app.py

@@ -25,23 +25,13 @@ def predict_emotion_from_audio(wav_filepath):
     predicted_emotion_label = np.argmax(predictions[0]) + 1
     return emotions[predicted_emotion_label]
 
-# Function for sentiment analysis using VADER
-def sentiment_vader(sentence):
-    sid_obj = SentimentIntensityAnalyzer()
-    sentiment_dict = sid_obj.polarity_scores(sentence)
-    if sentiment_dict['compound'] >= 0.05:
-        overall_sentiment = "Positive"
-    elif sentiment_dict['compound'] <= -0.05:
-        overall_sentiment = "Negative"
-    else:
-        overall_sentiment = "Neutral"
-    return overall_sentiment
+
 
 # Create a combined function that calls both models
 def get_predictions(audio_input):
     emotion_prediction = predict_emotion_from_audio(audio_input)
-    transcribe_prediction = transcribe(audio_input)
-    return [emotion_prediction, transcribe_prediction]
+    
+    return [emotion_prediction]
 
 # Create the Gradio interface
 with gr.Blocks() as interface: