Update app.py

app.py

@@ -46,11 +46,12 @@ def find_similar_texts(model_name, input_text):
         sorted_embeddings = text_embeddings.sort_values(by='euclidean_distance', ascending=True)
         top_five = sorted_embeddings.head(5)[['abstract', 'patent no', 'title']]
     #    formatted_output = '\n\n'.join([f"<Patent No: {row['patent no']}\nTitle: {row['title']}\nAbstract: {row['abstract']}" for index, row in top_five.iterrows()])
-        formatted_output = '\n\n'.join([
+        formatted_output = '<br><br>'.join([
         f"<strong>Patent No:</strong> {row['patent no']}<br>"
         f"<strong>Title:</strong> {row['title']}<br>"
-        f"<strong>Abstract:</strong> {row['abstract']}"
-    for index, row in top_five.iterrows()
+        f"<strong>Abstract:</strong> {row['abstract']}<br>"
+        for index, row in top_five.iterrows()
+])
 ])
         return formatted_output
     else: