app.py

import streamlit


from transformers.pipelines import pipeline

pipe = pipeline(model="KELONMYOSA/wav2vec2-xls-r-300m-emotion-ru", trust_remote_code=True)

# The pipeline input can be a file, path or link
result = pipe("speech.wav")
streamlit.write(result)