# set path import glob, os, sys; sys.path.append('../utils') import streamlit as st import json import logging from utils.lexical_search import runLexicalPreprocessingPipeline, lexical_search from utils.semantic_search import runSemanticPreprocessingPipeline, semantic_search def app(): with st.container(): st.markdown("

Search

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