Kamanda/Streamlit_Machine_Learning

1'''Hugging Face'''2 3import streamlit as st4from transformers import pipeline5 6if __name__ == "__main__":7 8    # Define the title of the and its description9    st.title("Answering questions using NLP through Streamlit interface")10    st.write("Pose questions, get answers")11 12    # Load file13    14    raw_text = st.text_area(label="Enter a text here")15    if raw_text != None and raw_text != '':16 17        # Display text18        with st.expander("Show question"):19            st.write(raw_text)20 21        # Conduct question answering using the pipeline22        question_answerer = pipeline('question-answering')23 24        answer = ''25        question = st.text_input('Ask a question')26 27        if question != '' and raw_text != '':28            answer = question_answerer({29                'question': question,30                'context': raw_text31            })32 33        st.write(answer)34