Update app.py

app.py

@@ -58,29 +58,18 @@ def classify_emotion(audio_file):
     return f"Predicted Emotion: {predicted_emotion} {emoji}"
 
 
-# ===== 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(type="filepath", label="🎤 Upload or Record")
-        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!
+# Gradio Interface
+interface = gr.Interface(
+    fn=classify_emotion,
+    inputs=gr.Audio(type="filepath"),
+    outputs="text",
+   title="🎧 Speak Your Emotion | AI Emotion Detector",
+description=(
+    "🎤 Upload a voice clip or speak into the mic — this AI will identify the **emotion** in your voice!\n\n"
+    "**Supported 8 Emotions**: Neutral, Happy, Sad, Angry, Fearful, Disgusted, Surprised."
+)
+
+# Launch the app
 if __name__ == "__main__":
-    demo.launch()
+    interface.launch()
+