Update backupapp.py

backupapp.py

@@ -3,6 +3,10 @@ import json
 import pandas as pd
 import streamlit.components.v1 as components
 
+# Initialize session state for tracking the last clicked row
+if 'last_clicked_row' not in st.session_state:
+    st.session_state['last_clicked_row'] = None
+    
 # Function to load JSONL file into a DataFrame
 def load_jsonl(file_path):
     data = []
@@ -42,7 +46,7 @@ def generate_html_with_textarea(text_to_speak):
     '''
 
 # Streamlit App 🚀
-st.title("USMLE Medical Questions Explorer with Speech Synthesis 🎙")
+st.title("AI Medical Explorer with Speech Synthesis 🎙")
 
 # Dropdown for file selection
 file_option = st.selectbox("Select file:", ["usmle_16.2MB.jsonl", "usmle_2.08MB.jsonl"])
@@ -55,7 +59,7 @@ small_data = load_jsonl("usmle_2.08MB.jsonl")
 data = large_data if file_option == "usmle_16.2MB.jsonl" else small_data
 
 # Top 20 healthcare terms for USMLE
-top_20_terms = ['Heart', 'Lung', 'Pain', 'Memory', 'Kidney', 'Diabetes', 'Cancer', 'Infection', 'Virus', 'Bacteria', 'Neurology', 'Psychiatry', 'Gastrointestinal', 'Pediatrics', 'Oncology', 'Skin', 'Blood', 'Surgery', 'Epidemiology', 'Genetics']
+top_20_terms = ['Heart', 'Lung', 'Pain', 'Memory', 'Kidney', 'Diabetes', 'Cancer', 'Infection', 'Virus', 'Bacteria', 'Gastrointestinal', 'Skin', 'Blood', 'Surgery']
 
 # Create Expander and Columns UI for terms
 with st.expander("Search by Common Terms 📚"):
@@ -64,8 +68,9 @@ with st.expander("Search by Common Terms 📚"):
         with cols[top_20_terms.index(term) % 4]:
             if st.button(f"{term}"):
                 filtered_data = filter_by_keyword(data, term)
-                st.write(f"Filtered Dataset by '{term}' 📊")
-                st.dataframe(filtered_data)
+                st.write(f"Filter on '{term}' 📊")
+                with st.sidebar:
+                    st.dataframe(filtered_data)
                 if not filtered_data.empty:
                     html_blocks = []
                     for idx, row in filtered_data.iterrows():