Update app.py

app.py

@@ -58,15 +58,29 @@ def classify_emotion(audio_file):
     return f"Predicted Emotion: {predicted_emotion} {emoji}"
 
 
-# Gradio Interface
-interface = gr.Interface(
-    fn=classify_emotion,
-    inputs=gr.Audio(type="filepath"),
-    outputs="text",
-    title="Speech Emotion Classifier 🎭",
-    description="Upload an audio file and the model will classify its emotion (Neutral, Happy, Sad, Angry, Fearful, Disgust, Surprised)."
-)
-
-# Launch the app
+# ===== Redesigned Gradio UI with Blocks =====
+with gr.Blocks() as demo:
+    gr.Markdown("""
+    # 🎧 Speak Your Emotion | AI Emotion Detector
+
+    Upload a voice recording or speak directly into your mic.  
+    This AI model will guess what **emotion** you're expressing.
+
+    ✅ Great for:
+    - Practicing emotional tone in speech  
+    - Testing AI capabilities  
+    - Language and drama learners  
+
+    _Emotions detected_: 😐 Neutral, 😊 Happy, 😢 Sad, 😠 Angry, 😨 Fearful, 🤢 Disgusted, 😲 Surprised
+    """)
+
+    with gr.Row():
+        audio_input = gr.Audio(source="microphone", type="filepath", label="🎤 Upload or Speak")
+        result = gr.Textbox(label="🧠 AI Detected Emotion")
+
+    submit_btn = gr.Button("🎯 Analyze Emotion")
+    submit_btn.click(fn=classify_emotion, inputs=[audio_input], outputs=[result])
+
+# Launch!
 if __name__ == "__main__":
-    interface.launch()
+    demo.launch()