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import time |
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import json |
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from pyserini.search.lucene import LuceneImpactSearcher |
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import streamlit as st |
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from pathlib import Path |
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import sys |
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path_root = Path("./") |
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sys.path.append(str(path_root)) |
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encoder_index_map = { |
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'uniCOIL': ('UniCoil', 'index-unicoil'), |
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'SPLADE++ Ensemble Distil': ('SpladePlusPlusEnsembleDistil', 'index-splade-pp-ed'), |
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'SPLADE++ Self Distil': ('SpladePlusPlusSelfDistil', 'index-splade-pp-sd') |
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} |
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index = 'index-splade-pp-ed' |
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encoder = 'SpladePlusPlusEnsembleDistil' |
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st.set_page_config(page_title="Pyserini with ONNX Runtime", |
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page_icon='πΈ', layout="centered") |
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cola, colb, colc = st.columns([5, 4, 5]) |
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with colb: |
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st.image("logo.jpeg") |
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colaa, colbb, colcc = st.columns([1, 8, 1]) |
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with colbb: |
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encoder = st.select_slider( |
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'Select a query encoder with ONNX Runtime', |
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options=['uniCOIL', 'SPLADE++ Ensemble Distil', 'SPLADE++ Self Distil']) |
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st.write('Now Running Encoder: ', encoder) |
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encoder, index = encoder_index_map[encoder] |
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col1, col2 = st.columns([9, 1]) |
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with col1: |
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search_query = st.text_input(label="search query", placeholder="Search") |
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with col2: |
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st.write('#') |
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button_clicked = st.button("π") |
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searcher = LuceneImpactSearcher( |
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f'indexes/{index}', f'{encoder}', encoder_type='onnx') |
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if search_query or button_clicked: |
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num_results = None |
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t_0 = time.time() |
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print("search query is:\t", search_query) |
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search_results = searcher.search(search_query, k=10) |
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search_time = time.time() - t_0 |
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st.write( |
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f'<p align=\"right\" style=\"color:grey;\">Retrieved {len(search_results):,.0f} documents in {search_time*1000:.2f} ms</p>', unsafe_allow_html=True) |
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for i, result in enumerate(search_results[:10]): |
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result_score = result.score |
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result_id = result.docid |
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output = f'<div class="row"> <div class="column"> <b>Rank</b>: {i+1} </div><div class="column"><b>Document ID</b>: {result_id}</div><div class="column"><b>Score</b>:{result_score:.2f}</div></div>' |
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try: |
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st.write(output, unsafe_allow_html=True) |
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except: |
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pass |
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st.write('---') |
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