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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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map = {'LABEL_0':'Depression', 'LABEL_1':'Pain', 'LABEL_2':'Anxiety', 'LABEL_3':'Acne', 'LABEL_4':'Birth Control'}
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def main():
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st.title("Text Classification App")
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review = st.text_area('Enter the review')
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if st.button:
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if review:
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pipe = pipeline("text-classification", model='ErnestBeckham/gpt-patientconditionclassification', tokenizer='ErnestBeckham/gpt-patientconditionclassification')
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label = pipe(review)
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st.subheader("Patient's Condition:")
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st.write(map[label[0]['label']])
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if __name__ == "__main__":
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main()
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