Update app.py

app.py

@@ -26,11 +26,18 @@ def transcribe_and_recognize_emotions(audio_file):
     dominant_emotion = max(emotions[0], key=lambda x: x['score'])['label']
 
     return transcription, dominant_emotion
+    
+# Simulated function to analyze speech patterns and prosody for mental health
+def analyze_speech_for_mental_health(audio_file):
+    # Here you would use a model or algorithm to analyze speech patterns, prosody, etc.
+    # For demonstration purposes, we'll simulate this with a placeholder response.
+    return "Simulated mental health analysis: No significant signs of depression or anxiety detected."
 
 # Define the Gradio interface function
 def gradio_transcription_emotion_interface(audio):
     transcription, emotion = transcribe_and_recognize_emotions(audio)
-    return transcription, emotion
+    mental_health_assessment = analyze_speech_for_mental_health(audio)
+    return transcription, emotion, mental_health_assessment
 
 # Set up Gradio Interface
 iface = gr.Interface(
@@ -38,11 +45,12 @@ iface = gr.Interface(
     inputs=gr.Audio(type="filepath"),
     outputs=[
         gr.Textbox(label="Transcription"),
-        gr.Label(label="Dominant Emotion")
+        gr.Label(label="Dominant Emotion"),
+        gr.Textbox(label="Mental Health Assessment")
     ],
     title="Audio Transcription and Emotion Recognition",
-    description="Upload or record an audio file to get the transcription and recognize its dominant emotion."
+    description="Upload or record an audio file to get the transcription, recognize its dominant emotion, and receive a mental health assessment."
 )
-
 # Deploy the interface
 iface.launch(debug=True)
+