File size: 464 Bytes
fe75c5d bcf03e5 fe75c5d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 |
import streamlit as st
from transformers import pipeline
classifier = pipeline("text-generation", model="gpt2")
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() |