Update app.py

app.py

@@ -43,21 +43,23 @@ st.title("HF Daily Papers Search")
 st.markdown(f"Search papers from [HF daily papers](https://huggingface.co/papers).")
 st.markdown(f"Nmber of documents: `{len(docs)}`.")
 st.markdown(f"From `{oldest_date.strftime('%Y-%m-%d')}` to `{newest_date.strftime('%Y-%m-%d')}`.")
-st.markdown("This app uses BM25, allowing you to search not only with keywords like \"machine learning\" but also with documents like \"How to generate synthetic data using LLM.\"")
+st.markdown("This app uses [BM25](https://en.wikipedia.org/wiki/Okapi_BM25), allowing you to search not only with keywords like \"machine learning\" \n  but also with documents like \"How to generate synthetic data using LLM.\"")
 
 col1, col2 = st.columns([4, 1])
 
 with col1:
-    user_query = st.text_input("Search anything...")
+    user_query = st.text_input("", placeholder="Search anything...")
 
 with col2:
-    if st.button('→'):
-        results = retriever.invoke(user_query)
-        st.text(f"Top n {len(results)} related papers")
-
-        for result in results:
-            with st.expander(label=result.metadata['title'], expanded=False):
-                for k in result.metadata:
-                    st.write(f"{k}: {result.metadata[k]}")
-                st.divider()
-                st.markdown(result.page_content)
+    search_button = st.button('→')
+
+if search_button:
+    results = retriever.invoke(user_query)
+    st.text(f"Top n {len(results)} related papers")
+
+    for result in results:
+        with st.expander(label=result.metadata['title'], expanded=False):
+            for k in result.metadata:
+                st.write(f"{k}: {result.metadata[k]}")
+            st.divider()
+            st.markdown(result.page_content)