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Update app.py
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app.py
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import streamlit as st
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from transformers import pipeline
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pipe =pipeline('sentiment-analysis')
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text=st.text_area('enter customer feedback')
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if text:
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# import streamlit as st
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# from transformers import pipeline
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# pipe =pipeline('sentiment-analysis')
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# text=st.text_area('enter customer feedback')
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# if text:
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# out =pipe(text)
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# st.json(out)
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from bertopic import BERTopic
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topic_model = BERTopic.load("MaartenGr/BERTopic_Wikipedia")
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topic_model.get_topic_info()
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