Update app.py

app.py

@@ -2,7 +2,6 @@ import gradio as gr
 import numpy as np
 import librosa
 import time
-from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
 from tensorflow.keras.models import load_model
 
 # Load the emotion prediction model
@@ -41,7 +40,7 @@ with gr.Blocks() as interface:
             with gr.Row():
                 input_audio = gr.Audio(label="Input Audio", type="filepath")
                 submit_button = gr.Button("Submit")
-            output_labels = [gr.Label(num_top_classes=8), gr.Label(num_top_classes=4)]
+            output_labels = [gr.Label(num_top_classes=8)]
 
     # Set the function to be called when the button is clicked
     submit_button.click(get_predictions, inputs=input_audio, outputs=output_labels)