minor fixes

app.py

@@ -51,6 +51,15 @@ def init_buffer_memory():
     return memory
 
 
+def clear():
+    return init_buffer_memory(), []
+
+
+def regenerate_response():
+    # TODO: Add functionality
+    pass
+
+
 with gr.Blocks(css="""
                #component-0 { max-width: 900px; margin: auto; padding-top: 1.5rem; }
                #duplicate-button { margin: auto; color: white; background: #1565c0; border-radius: 100vh; }
@@ -59,9 +68,9 @@ with gr.Blocks(css="""
         """
         ![](https://huggingface.co/spaces/abdullahmeda/OpenChat/resolve/main/banner.png)
 
-        This Huggingface Gradio Space provides you access to all OpenAI API model that are readily available to the public with custom System Messages. Please note that you would be needing an OPENAI API key to successfully use this space.
-
-        Feel free to play with it, or duplicate the Space and run securely with your OpenAI API Key
+        This Huggingface Gradio Space provides you access to all OpenAI API model that are readily available to 
+        the public with custom System Messages. Please note that you would be needing an OPENAI API key to 
+        successfully use this space.
         """
     )
     gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button")
@@ -108,9 +117,9 @@ with gr.Blocks(css="""
         max_new_tokens = gr.Slider(
             label='Max new tokens',
             minimum=1,
-            maximum=4096,
+            maximum=2048,
             step=1,
-            value=2048,
+            value=1024,
         )
         temperature = gr.Slider(
             label='Temperature',
@@ -132,6 +141,7 @@ with gr.Blocks(css="""
     query.submit(respond, [openai_key, model, temperature, max_new_tokens, query, memory, chatbot], [query, memory, chatbot])
     submit.click(respond, [openai_key, model, temperature, max_new_tokens, query, memory, chatbot], [query, memory, chatbot])
 
-    regenerate.click()
+    regenerate.click(regenerate_response, None, None)
+    clear_history.click(clear, None, [memory, chatbot])
     
 demo.queue().launch()