Lab10 / app.py
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import streamlit as st
from transformers import pipeline
from datasets import load_dataset
audio_classifier = pipeline(
task="audio-classification", model="ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition"
def main():
st.title("Yelp review")
with st.form("text_field"):
text = st.text_area('enter some text:')
# clicked==True only when the button is clicked
clicked = st.form_submit_button("Submit")
if clicked:
results = classifier([text])
st.json(results)
if __name__ == "__main__":
main()