Update app.py

app.py

@@ -64,25 +64,40 @@ def generate_tokens(text):
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
 
-chatInterface = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a professional Mental Healthcare Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=6144, value=6144, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=1, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
+#chatInterface = gr.ChatInterface(
+#    respond,
+#    additional_inputs=[
+#        gr.Textbox(value="You are a professional Mental Healthcare Chatbot.", label="System message"),
+#        gr.Slider(minimum=1, maximum=6144, value=6144, step=1, label="Max new tokens"),
+#        gr.Slider(minimum=0.1, maximum=4.0, value=1, step=0.1, label="Temperature"),
+#        gr.Slider(
+#            minimum=0.1,
+#            maximum=1.0,
+#            value=0.95,
+#            step=0.05,
+#            label="Top-p (nucleus sampling)",
+#        ),
+#    ],
+#)
 
 with gr.Blocks() as demo:
     with gr.Row():
-        chatInterface
+        gr.ChatInterface(
+            respond,
+            additional_inputs=[
+                gr.Textbox(value="You are a professional Mental Healthcare Chatbot.", label="System message"),
+                gr.Slider(minimum=1, maximum=6144, value=6144, step=1, label="Max new tokens"),
+                gr.Slider(minimum=0.1, maximum=4.0, value=1, step=0.1, label="Temperature"),
+                gr.Slider(
+                    minimum=0.1,
+                    maximum=1.0,
+                    value=0.95,
+                    step=0.05,
+                    label="Top-p (nucleus sampling)",
+                ),
+            ],
+        )
+        
     with gr.Column():
         input_text = gr.Textbox(label="Input text")
         input_tokens = gr.Textbox(label="Input tokens")