import torch import streamlit as st import numpy as np from PIL import Image, ImageDraw from transformers import pipeline from tempfile import NamedTemporaryFile audiopipe = pipeline("automatic-speech-recognition", model="openai/whisper-large-v3")st.title('Upload an audio file for speech recognition') uploaded_audio_file = st.file_uploader("Choose an audio file (wav)") if uploaded_audio_file is not None: with NamedTemporaryFile(suffix="wav") as temp: temp.write(uploaded_audio_file.getvalue()) temp.seek(0) result = audiopipe(temp.name) st.write(result)