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  1. MLOps NLP.ipynb +0 -0
  2. app.py +23 -0
  3. sentiment_analysis.pkl +3 -0
MLOps NLP.ipynb ADDED
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app.py ADDED
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+ import streamlit as st
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+ import pickle
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+
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+ # load model
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+ model = pickle.load(open('sentiment_analysis.pkl', 'rb'))
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+
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+ # create title
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+ st.title('Sentiment Analysis Model')
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+
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+ review = st.text_input('Enter your review:')
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+
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+ submit = st.button('Predict')
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+
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+ if submit:
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+ prediction = model.predict([review])
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+
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+ # print(prediction)
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+ # st.write(prediction)
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+
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+ if prediction[0] == 'positive':
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+ st.success('Positive Review')
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+ else:
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+ st.warning('Negative Review')
sentiment_analysis.pkl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:fa7fffb45ffd63280a9c17218a159472940674396da2b9124a91d1a8c541d648
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+ size 3613726