Update app.py

app.py

@@ -13,7 +13,7 @@ test_dataset_df = pd.DataFrame(columns=['id', 'title', 'content', 'prechunk_id',
 test_dataset_df = pd.concat([test_dataset_df, pd.DataFrame([{
     'id': '1',
     'title': 'Best restaurants in queens',
-    'content': 'I personally like to go to the Pan Chicken, they have fried chicken and amazing bubble tea.',
+    'content': 'I personally like to go to the J-Pan Chicken, they have fried chicken and amazing bubble tea.',
     'prechunk_id': '',
     'postchunk_id': '2',
     'arxiv_id': '2401.04088',
@@ -191,7 +191,7 @@ def generate(query: str, history):
             "to the user’s question. If the context provides useful recommendations that match what the user is asking for, use them. "
             "If the context is unrelated or does not fully answer the question, rely on your general NYC knowledge instead.\n\n"
             "Be specific when recommending places—mention neighborhoods, the atmosphere, and why someone might like a spot. "
-            "Keep your tone warm, conversational, and engaging, like a friend who genuinely enjoys sharing their city.\n\n"
+            "Keep your tone warm, conversational, and engaging, like a close friend who genuinely enjoys sharing their city.\n\n"
             "CONTEXT:\n"
             "\n---\n".join(get_docs(query, top_k=5))
         )