Update app.py

app.py

@@ -5,7 +5,6 @@ import os
 
 # --- Model Loading ---
 # We switched to 'superb/wav2vec2-base-superb-er' as it's a well-established and public model for emotion recognition.
-# This should resolve the download issues encountered previously.
 try:
     classifier = pipeline("audio-classification", model="superb/wav2vec2-base-superb-er")
 except Exception as e:
@@ -68,7 +67,8 @@ def predict_emotion(audio_file):
 # Define the Gradio interface
 iface = gr.Interface(
     fn=predict_emotion,
-    inputs=gr.Audio(sources=["microphone", "file"], type="filepath", label="Upload Audio or Record with Microphone"),
+    # THIS IS THE CORRECTED LINE:
+    inputs=gr.Audio(sources=["microphone", "upload"], type="filepath", label="Upload Audio or Record with Microphone"),
     outputs=gr.Label(num_top_classes=5, label="Emotion Probabilities"), # This model has 4 emotions + 'no-emotion'
     title="AI Audio Emotion Detector",
     description="Upload an audio file or record your voice to detect emotions. This model is trained to recognize 'anger', 'happiness', 'neutral', 'sadness', and 'no-emotion'.",