Update app.py

app.py

@@ -188,7 +188,7 @@ with gr.Blocks(css=MODEL_SELECTION_CSS, theme='gradio/soft') as demo:
       
         with gr.Row(elem_id="container"):
             with gr.Column():
-                gr.Markdown("""This application is built and provided for anyone who wants to try out open source Large Language Models for free. All the provided models are pre-downloaded and pre-loaded to maximize your experience. This application is hosted on [jarvislabs.ai](https://jarvislabs.ai/) with 3 x A6000 VM instance. This demo will be hosted until 13/07/2023, but you can run the same application on [jarvislabs.ai](https://jarvislabs.ai/) with arbitrary GPU options of your choice. Also, if you can run the same application on your own environment, be sure to check out the [project repository](https://github.com/deep-diver/LLM-As-Chatbot) for any further information.
+                gr.Markdown("""This application is built and provided for anyone who wants to try out open source Large Language Models for free. All the provided models are pre-downloaded and pre-loaded to maximize your experience. This application is hosted on Hugging Face Space with 1 x A10 VM instance. If you want to run the same application on your own environment, be sure to check out the [project repository](https://github.com/deep-diver/LLM-As-Chatbot) for any further information.
 
 From this page, choose a model that you would like to try out. By selecting a model, you will see more detailed description of the model in a separate page. Also note that this page will appear whenever you refresh your browser tab. """)
                 with gr.Row(elem_classes=["sub-container"]):
@@ -453,27 +453,10 @@ Lastly, there is a hidden panel on the top right corner, and it will appear when
         instruction_txtbox.submit(
             lambda: [
                 gr.update(visible=False),
-                gr.update(interactive=True)
+                gr.update(visible=True)
             ],
             None,
-            [example_block, regenerate]
-        ).then(
-            central.chat_stream,
-            [idx, local_data, instruction_txtbox, chat_state, model_num,
-            global_context, ctx_num_lconv, ctx_sum_prompt,
-            res_temp, res_topp, res_topk, res_rpen, res_mnts, res_beams, res_cache, res_sample, res_eosid, res_padid],
-            [instruction_txtbox, chatbot, context_inspector, local_data],
-        ).then(
-            None, local_data, None, 
-            _js="(v)=>{ setStorage('local_data',v) }"
-        )
-
-        instruction_txtbox.submit(
-            lambda: [
-                gr.update(visible=False)
-            ],
-            None,
-            [example_block]
+            [example_block, stop]
         )
         
         send_event = instruction_txtbox.submit(
@@ -482,15 +465,13 @@ Lastly, there is a hidden panel on the top right corner, and it will appear when
             global_context, ctx_num_lconv, ctx_sum_prompt,
             res_temp, res_topp, res_topk, res_rpen, res_mnts, res_beams, res_cache, res_sample, res_eosid, res_padid],
             [instruction_txtbox, chatbot, context_inspector, local_data],
-        )
-        
-        instruction_txtbox.submit(
+        ).then(
             None, local_data, None, 
             _js="(v)=>{ setStorage('local_data',v) }"
         ).then(
             lambda: [
                 gr.update(interactive=True),
-                gr.update(interactive=True),    
+                gr.update(interactive=False),
             ],
             None,
             [regenerate, stop]
@@ -500,37 +481,28 @@ Lastly, there is a hidden panel on the top right corner, and it will appear when
             rollback_last,
             [idx, local_data, chat_state],
             [instruction_txtbox, chatbot, local_data, regenerate]
-        )
-        
-        regen_event = regenerate.click(
+        ).then(
+            lambda: gr.update(interactive=False),
+            None,
+            stop
+        ).then(
             central.chat_stream,
             [idx, local_data, instruction_txtbox, chat_state, model_num,
             global_context, ctx_num_lconv, ctx_sum_prompt,
             res_temp, res_topp, res_topk, res_rpen, res_mnts, res_beams, res_cache, res_sample, res_eosid, res_padid],
             [instruction_txtbox, chatbot, context_inspector, local_data],            
-        )
-
-        regenerate.click(
+        ).then(
             lambda: gr.update(interactive=True),
             None,
             regenerate
-        )
-        
-        regenerate.click(
+        ).then(
             None, local_data, None, 
             _js="(v)=>{ setStorage('local_data',v) }"  
-        ).then(
-            lambda: [
-                gr.update(interactive=True),
-                gr.update(interactive=True),    
-            ],
-            None,
-            [regenerate, stop]
         )
         
         stop.click(
             None, None, None,
-            cancels=[send_event, regen_event]
+            cancels=[send_event]
         )
 
         clean.click(