Upload app.py
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app.py
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# -*- coding: utf-8 -*-
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"""Lab10_app.ipynb
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Automatically generated by Colaboratory.
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Original file is located at
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https://colab.research.google.com/drive/17s4mJEUqE6OCVbdAOw1ROMQOpf4NBAw1
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"""
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import streamlit as st
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from transformers import pipeline
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classifier = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
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def main():
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st.title("Sentiment analysis")
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with st.form("text_field"):
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text = st.text_area('enter some text:')
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# clicked==True only when the button is clicked
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clicked = st.form_submit_button("Submit")
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if clicked:
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results = classifier([text])
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st.json(results)
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if __name__ == "__main__":
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main()
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