Update app.py

return line updated

app.py

@@ -30,7 +30,7 @@ def predict_audio(file_path):
     max_length = target_sample_rate * 10
 
     try:
-        # Faylni yuklash
+        # upload audio file
         waveform, sample_rate = torchaudio.load(file_path)
 
         # Resample agar sample_rate mos kelmasa
@@ -67,7 +67,8 @@ def predict_audio(file_path):
 
         return {
             "Class": class_name,
-            "Confidence": round(confidence * 100, 2)
+            "label": int(predicted_label),
+            "Confidence": float(confidence)
         }
     except Exception as e:
         return {"error": str(e)}
@@ -75,12 +76,12 @@ def predict_audio(file_path):
 # Gradio interfeysi
 iface = gr.Interface(
     fn=predict_audio,
-    inputs=gr.Audio(type="filepath"),  # `filepath` parametridan foydalaning
+    inputs=gr.Audio(type="filepath"),  # `filepath` parameter use
     outputs=[
         gr.Label(label="Predicted Class"),
         gr.Label(label="Confidence")
     ],
-    title="Audio Classification",
+    title="Human or AI-generated voice classification",
     description="Upload an audio file to classify it into one of the predefined categories."
 )