Update app.py

app.py

@@ -1,6 +1,9 @@
+!pip install gradio
+
+!pip install git+https://github.com/openai/whisper.git 
 import gradio as gr
 import torch
-import whisper # Now you should be able to import the whisper module
+import whisper
 import warnings
 import os
 import librosa
@@ -89,4 +92,9 @@ with gr.Blocks() as demo:
         with gr.Row():
             transcript_output = gr.Textbox(label="Transcription", lines=3)
             emotion_output = gr.Label(label="Detected Emotion from Text")
+            prosody_output = gr.Label(label="Prosodic Features (Pitch, Loudness, Intensity)")
+
+    transcribe_audio_r.click(translate_and_classify, inputs=audio_input_r, outputs=[transcript_output, emotion_output, prosody_output])
+    transcribe_audio_u.click(translate_and_classify, inputs=audio_input_u, outputs=[transcript_output, emotion_output, prosody_output])
+
 demo.launch(share=True)