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import streamlit as st |
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st.title("IndicNLP!") |
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st.text("This is our Final Year Project,") |
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st.text("Implementing various features of NLP i.e,") |
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st.text("Natural Language Processing in Various Indic Languages.") |
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st.text("To Begin with Hindi,") |
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st.text("Here are Few Modules we have Implemented :-") |
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add_selectbox = st.sidebar.selectbox( |
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"Which Module would you like to try?", |
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("Part-of-Speech Tagging", "Questiom & Answer", "Grammar Checking") |
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) |
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if add_selectbox == "Part-of-Speech Tagging" : |
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st.header('Part-Of-Speech, PoS-Tagging :- ') |
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pos_ip = st.text_input('Enter a Statement') |
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pos_btn = st.button("Process") |
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if pos_btn: |
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st.error("work's in progress :construction:, Come again later :smiley:") |
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if add_selectbox == "Questiom & Answer" : |
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st.header('Question & Answering :- ') |
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text = st.text_area("Text to analyze") |
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que_ip = st.text_input('Enter the question') |
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qna_btn = st.button("Answer") |
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if qna_btn: |
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st.success("work's in progress :construction:, Come again later :smiley:") |
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if add_selectbox == "Grammar Checking" : |
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st.header('Grammar Correction :- ') |
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grm_ip = st.text_input('Enter the Statement') |
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grm_btn = st.button("Check Grammar") |
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if grm_btn: |
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st.write("work's in progress :construction:, Come again later :smiley:") |
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st.caption('Thank you for Tuning in, Come back for more :heart:') |