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app.py

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+import streamlit as st
+from whoosh.index import create_in, open_dir
+from whoosh.qparser import QueryParser
+
+st.set_page_config(page_title="Pyserini x Datasets", page_icon='🌸', layout="centered")
+
+
+
+cola, colb, colc = st.columns([5,4,5])
+with colb:
+    st.image("logo.png")
+
+col1, col2 = st.columns([9, 1])
+with col1:
+    search_query = st.text_input(label="", placeholder="Search")
+
+with col2:
+    st.write('#')
+    button_clicked = st.button("🔎")
+
+
+if search_query or button_clicked:
+    myquery = parser.parse(search_query)
+    num_results = None
+    #search_results = searcher.search(myquery, limit=num_results)
+    st.write(f"<p align=\"right\" style=\"color:grey;\">Retrieved {len(search_results):,.0f} documents in {search_results.runtime*1000:.2f} ms</p>", unsafe_allow_html=True)
+    for result in search_results[:10]:
+        #keywords = ', '.join(result.key_terms('text'))
+        #meta = result['meta']
+        #st.write(f"<b>Document Keywords</b>: {keywords}", unsafe_allow_html=True)
+        #st.write(f"<b>Meta Field</b>: {meta}", unsafe_allow_html=True)
+        try:
+            st.write(result.highlights('text'), unsafe_allow_html=True)
+        except:
+            pass
+        with st.expander("Document Text", expanded=False):
+            st.write(result['text'][:1600])
+        st.write('---')
+