try

app.py

@@ -4,26 +4,6 @@ from huggingface_hub import InferenceClient
 from sentence_transformers import SentenceTransformer
 import torch
 
-with gr.Blocks(theme='hmb/amethyst') as demo:
-    with gr.Row(equal_height=True):
-        with gr.Column(scale=10):
-            gr.Markdown(
-                """
-                # 🎁 Introducing WrapIT!
-                **WrapIT** helps users find personalized gift ideas and craft thoughtful card messages  
-                by inputting details like the recipient's interests, celebration type, and budget.
-                
-                ✨ *All you have to do is wrap it.*
-                """
-            )
-
-    chatbot = gr.Chatbot()
-    msg = gr.Textbox(placeholder="Say hi to WrapIT here!")
-    send = gr.Button("Send")
-
-    msg.submit(respond, [msg, chatbot], [msg, chatbot])
-    send.click(respond, [msg, chatbot], [msg, chatbot])
-
 
 with open("knowledge.txt", "r", encoding="utf-8") as file:
   recent = file.read()
@@ -108,6 +88,26 @@ def respond(message,history):
     
     #yield response["choices"][0]["message"]["content"].strip()
 
+with gr.Blocks(theme='hmb/amethyst') as demo:
+    with gr.Row(equal_height=True):
+        with gr.Column(scale=10):
+            gr.Markdown(
+                """
+                # 🎁 Introducing WrapIT!
+                **WrapIT** helps users find personalized gift ideas and craft thoughtful card messages  
+                by inputting details like the recipient's interests, celebration type, and budget.
+                
+                ✨ *All you have to do is wrap it.*
+                """
+            )
+
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox(placeholder="Say hi to WrapIT here!")
+    send = gr.Button("Send")
+
+    msg.submit(respond, [msg, chatbot], [msg, chatbot])
+    send.click(respond, [msg, chatbot], [msg, chatbot])
+
 chatbot = gr.ChatInterface(respond, type='messages', theme='hmb/amethyst')
 chatbot.launch(debug=True)
 demo.launch()