app.py

import gradio as gr


from transformers import pipeline

pipe = pipeline("audio-classification", model="Aniemore/wavlm-emotion-russian-resd")
def recognize(name):

    return pipe(name)


demo = gr.Interface(
    fn=recognize,
    inputs=[
    gr.Audio(source="microphone", type="filepath")
], outputs="label")

demo.launch()