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import glob, os, sys; |
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sys.path.append('../utils') |
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import streamlit as st |
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import json |
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import logging |
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from utils.lexical_search import runLexicalPreprocessingPipeline, lexical_search |
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from utils.semantic_search import runSemanticPreprocessingPipeline, semantic_search |
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def app(): |
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with st.container(): |
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st.markdown("<h1 style='text-align: center; \ |
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color: black;'> Search</h1>", |
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unsafe_allow_html=True) |
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st.write(' ') |
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st.write(' ') |
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with st.expander("ℹ️ - About this app", expanded=False): |
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st.write( |
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""" |
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The *Keyword Search* app is an easy-to-use interface \ |
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built in Streamlit for doing keyword search in \ |
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policy document - developed by GIZ Data and the \ |
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Sustainable Development Solution Network. |
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""") |
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st.markdown("") |
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with st.sidebar: |
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with open('docStore/sample/keywordexample.json','r') as json_file: |
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keywordexample = json.load(json_file) |
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genre = st.radio("Select Keyword Category", list(keywordexample.keys())) |
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if genre == 'Food': |
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keywordList = keywordexample['Food'] |
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elif genre == 'Climate': |
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keywordList = keywordexample['Climate'] |
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elif genre == 'Social': |
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keywordList = keywordexample['Social'] |
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elif genre == 'Nature': |
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keywordList = keywordexample['Nature'] |
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elif genre == 'Implementation': |
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keywordList = keywordexample['Implementation'] |
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else: |
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keywordList = None |
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searchtype = st.selectbox("Do you want to find exact macthes or similar \ |
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meaning/context", |
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['Exact Matches', 'Similar context/meaning']) |
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st.markdown("---") |
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with st.container(): |
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if keywordList is not None: |
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queryList = st.text_input("You selcted the {} category we \ |
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will look for these keywords in document".format(genre), |
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value="{}".format(keywordList)) |
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else: |
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queryList = st.text_input("Please enter here your question and we \ |
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will look for an answer in the document\ |
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OR enter the keyword you are looking \ |
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for and we will we will look for similar\ |
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context in the document.", |
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placeholder="Enter keyword here") |
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if st.button("Find them"): |
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if queryList == "": |
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st.info("🤔 No keyword provided, if you dont have any, \ |
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please try example sets from sidebar!") |
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logging.warning("Terminated as no keyword provided") |
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else: |
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if 'filepath' in st.session_state: |
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if searchtype == 'Exact Matches': |
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allDocuments = runLexicalPreprocessingPipeline( |
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st.session_state['filepath'], |
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st.session_state['filename']) |
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logging.info("performing lexical search") |
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with st.spinner("Performing Exact matching search \ |
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(Lexical search) for you"): |
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st.markdown("##### Top few lexical search (TFIDF) hits #####") |
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lexical_search(queryList,allDocuments['documents']) |
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else: |
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allDocuments = runSemanticPreprocessingPipeline( |
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st.session_state['filepath'], |
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st.session_state['filename']) |
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logging.info("starting semantic search") |
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with st.spinner("Performing Similar/Contextual search"): |
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semantic_search(queryList,allDocuments['documents']) |
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else: |
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st.info("🤔 No document found, please try to upload it at the sidebar!") |
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logging.warning("Terminated as no document provided") |
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