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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("question-answering", model="roberta-base for QA") |
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def main(): |
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st.title("Question & Answering") |
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with st.form("text_field"): |
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text = st.text_area('Enter question:') |
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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() |