Create app.py

app.py

@@ -0,0 +1,12 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the model
+pipe = pipeline("audio-classification", model="superb/wav2vec2-base-superb-er")
+ 
+def classify_emotion(audio):
+    result = pipe(audio, top_k=5)
+    return result
+
+# Gradio interface for uploading an audio file
+gr.Interface(fn=classify_emotion, inputs=gr.Audio(sources=['upload', 'microphone'], type="filepath"), outputs="text").launch()