3

app3.py

@@ -42,9 +42,8 @@ audio_files_list = get_audio_files_list()
 inputs = gr.Dropdown(label="Select Audio", choices=audio_files_list)
 outputs = [gr.outputs.Textbox(label="Predicted Emotion"), gr.outputs.Audio(label="Play Audio")]
 
-title = "ML Speech Emotion Detection3"
+title = "ML Speech Emotion Detection"
 description = "Speechbrain powered wav2vec 2.0 pretrained model on IEMOCAP dataset using Gradio."
-sub_btn = gr.Button("Detect Emotion",elem_id="btn")
-sub_btn.click(predict_emotion, inputs=inputs, outputs=outputs)
+
 interface = gr.Interface(fn=predict_emotion, inputs=inputs, outputs=outputs, title=title, description=description)
 interface.launch()