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# -*- coding: utf-8 -*-
"""Lab10app.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1lrMgwkvs4N_RUAAPjhRcbd1shmVd38Ah
"""
import streamlit as st
from transformers import pipeline
classifier = pipeline("text-generation", model="Jean-Baptiste/camembert-ner")
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() |