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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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@st.cache(allow_output_mutation=True)
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def load_qa_model():
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model = pipeline("question-answering")
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return model
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qa = load_qa_model()
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st.title("Ask Questions about your Text")
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sentence = st.text_area('Please paste your article :', height=30)
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question = st.text_input("Questions from this article?")
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button = st.button("Get me Answers")
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max = st.sidebar.slider('Select max', 50, 500, step=10, value=150)
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min = st.sidebar.slider('Select min', 10, 450, step=10, value=50)
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do_sample = st.sidebar.checkbox("Do sample", value=False)
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with st.spinner("Discovering Answers.."):
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if button and sentence:
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answers = qa(question=question, context=sentence)
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st.write(answers['answer'])
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