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Create sentiment-analyser.py
Browse files- sentiment-analyser.py +24 -0
sentiment-analyser.py
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import streamlit as st
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from transformers import pipeline
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st.title('Sentiment Analyser App')
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st.write('Welcome to my sentiment analysis app!')
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form = st.form(key='sentiment-form')
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user_input = form.text_area('Enter your text')
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submit = form.form_submit_button('Submit')
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classifier = pipeline("sentiment-analysis")
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result = classifier(user_input)[0]
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label = result['label']
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score = result['score']
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if submit:
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classifier = pipeline("sentiment-analysis")
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result = classifier(user_input)[0]
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label = result['label']
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score = result['score']
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if label == 'POSITIVE':
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st.success(f'{label} sentiment (score: {score})')
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else:
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st.error(f'{label} sentiment (score: {score})')
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