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import os
import streamlit as st
import streamlit.components.v1 as components
from datasets import load_dataset
from pyserini.search.lucene import LuceneSearcher
st.set_page_config(page_title="IMDB Search", layout="wide")
st.sidebar.markdown(
"""
<style>
.aligncenter {
text-align: center;
font-weight: bold;
font-size: 28px;
}
</style>
<p class="aligncenter">IMDB Search</p>
""",
unsafe_allow_html=True,
)
st.sidebar.markdown(
"""
<style>
.aligncenter {
text-align: center;
}
</style>
""",
unsafe_allow_html=True,
)
query = st.sidebar.text_input(label="Search query", value="")
footer = """
<style>
.footer {
position: fixed;
left: 0;
bottom: 0;
width: 100%;
background-color: white;
color: black;
text-align: center;
}
</style>
<div class="footer">
<p>
Powered by <a href="https://huggingface.co/" >HuggingFace 🤗</a> and <a href="https://github.com/castorini/pyserini" >Pyserini 🦆</a>
</p>
</div>
"""
st.sidebar.markdown(footer, unsafe_allow_html=True)
searcher = LuceneSearcher("index")
ds = load_dataset("imdb", split="train")
def search(query):
hits = searcher.search(query, k=10)
results = ds.select([int(hit.docid) for hit in hits])
return results["text"]
if st.sidebar.button("Search 🔍"):
results = search(query)
results_html = ""
for result in results:
results_html += result + "<br><br><hr><br><br>"
rendered_results = f"""
<div id="searchresultsarea">
{results_html}
</div>
"""
components.html(
rendered_results,
height=800,
scrolling=True,
)
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