app.py

import streamlit as st
from transformers import pipeline

transcriber = pipeline(model="openai/whisper-large-v2")
transcriber("https://huggingface.co/datasets/Narsil/asr_dummy/resolve/main/mlk.flac")
st.write(transcriber)



# transcriber = pipeline(task="sentiment-analysis")
# text = st.text_input('Label', 'enter some text!')

# if text:
#     out = transcriber(text)
#     st.json(out)