Update app.py

app.py

@@ -22,7 +22,17 @@ model = SentenceTransformer('all-MiniLM-L6-v2')
 #]
 
 queries = pd.read_excel("egu_session_descriptions.xlsx").Description
-titles = pd.read_excel("egu_session_descriptions.xlsx").Title         # The column to display as results
+titles = pd.read_excel("egu_session_descriptions.xlsx").Title  
+ids = pd.read_excel("egu_session_descriptions.xlsx").ID
+
+
+prefix = "https://meetingorganizer.copernicus.org/EGU25/session/"
+
+# Create a new list with the URL prefix added to each number
+urls = [f"{prefix}{num}" for num in ids]
+
+
+# The column to display as results
 # Precompute embeddings for the queries
 query_embeddings = model.encode(queries)
 
@@ -64,7 +74,17 @@ def server(input, output, session):
                 top_indices = np.argsort(similarities)[-5:][::-1]
                 
                 # Prepare the results to display
-                result_boxes = [ui.div(titles[idx],   style="padding: 10px; margin: 5px; border-radius: 5px; color: white; font-weight: bold; background-color: #4682B4;") for idx in top_indices]
+                result_boxes = [
+                ui.a(
+                ui.div(
+                titles[idx],
+                style="padding: 10px; margin: 5px; border-radius: 5px; color: white; font-weight: bold; background-color: #4682B4;"
+                ),
+                href=urls[idx], target="_blank"  # Open in a new tab
+                )
+                for idx in top_indices
+                ]
+                #result_boxes = [ui.div(titles[idx],   style="padding: 10px; margin: 5px; border-radius: 5px; color: white; font-weight: bold; background-color: #4682B4;") for idx in top_indices]
                 return result_boxes
         return ui.div("Please enter text and press the button.")