Update app.py

app.py

@@ -4,6 +4,8 @@ import urllib.parse
 from datetime import datetime
 import pytz
 import re
+import pandas as pd
+import base64
 
 # --- Constants ---
 MELBOURNE_TIMEZONE = 'Australia/Melbourne'
@@ -88,6 +90,23 @@ def load_css():
         margin: 0.5rem 0;
         font-size: 1.4rem;
     }
+    
+    .citation-table {
+        margin: 1rem 0;
+        width: 100%;
+        border-collapse: collapse;
+    }
+    
+    .citation-table th, .citation-table td {
+        border: 1px solid #e0e0e0;
+        padding: 0.5rem;
+        text-align: left;
+    }
+    
+    .citation-table th {
+        background: #f8f8f8;
+        font-weight: bold;
+    }
     </style>
     """, unsafe_allow_html=True)
 
@@ -165,6 +184,12 @@ def parse_metadata(fragment_text):
     except:
         return None, None, None, None
 
+def get_table_download_link(df, filename="citation_data.csv"):
+    csv = df.to_csv(index=False)
+    b64 = base64.b64encode(csv.encode()).decode()
+    href = f'<a href="data:file/csv;base64,{b64}" download="{filename}">Download Citation Data as CSV</a>'
+    return href
+
 # --- Live Clock JavaScript ---
 def live_clock():
     return """
@@ -431,6 +456,26 @@ with tabs[1]:
                         <strong>Authentic citation!</strong>
                     </div>
                     """, unsafe_allow_html=True)
+                    
+                    # Create DataFrame for citation details
+                    citation_data = {
+                        "Username": [username],
+                        "Task Name": [task_name],
+                        "Time": [time],
+                        "Date": [date],
+                        "URL": [citation_base_url],
+                        "Author(s) Name": [author],
+                        "Year": [year],
+                        "Annotated Text": [citation_fragment]
+                    }
+                    df = pd.DataFrame(citation_data)
+                    
+                    # Display table
+                    st.markdown("### Citation Details")
+                    st.markdown(df.to_html(classes="citation-table", index=False), unsafe_allow_html=True)
+                    
+                    # Provide download link
+                    st.markdown(get_table_download_link(df), unsafe_allow_html=True)
                 else:
                     st.markdown("""
                     <div class="warning-box">