Update app.py

app.py

@@ -22,11 +22,11 @@ emotion_dict = {
 
 def predict_emotion(audio):
     out_prob, score, index, text_lab = learner.classify_file(audio.name)
-    return emotion_dict[text_lab[0]]
+    return emotion_dict[text_lab[0]], score
 
 # Loading gradio interface
 inputs = gr.inputs.Audio(label="Input Audio", type="file")
 outputs = "text"
-title = "Emotion Detection"
+title = "Machine Learning Emotion Detection"
 description = "Gradio demo for Emotion Detection. To use it, simply upload your audio, or click one of the examples to load them. Read more at the links below."
 gr.Interface(predict_emotion, inputs, outputs, title=title, description=description).launch()