Create app.py

app.py

@@ -0,0 +1,20 @@
+from transformers import pipeline
+import gradio as gr
+
+model_id = "pollner/distilhubert-finetuned-ravdess"
+classifier = pipeline("audio-classification", model=model_id)
+
+def classify_audio(audio_file):
+    # audio_file is path or file object
+    result = classifier(audio_file)
+    return result
+
+iface = gr.Interface(
+    fn=classify_audio,
+    inputs=gr.Audio(source="upload", type="filepath"),
+    outputs=gr.JSON(label="Classification result"),
+    title="Emotion recognition from speech (RAVDESS)",
+    description="Classifies emotion from audio using distilhubert-finetuned-ravdess"
+)
+
+iface.launch()