Update app.py

app.py

@@ -44,32 +44,8 @@ def generate_text(input_text, selected_model):
     output = model.generate(input_text, max_tokens=100)
     return output
 
-
-# with gr.Blocks() as demo:
-#     gr.Markdown("## GPT4All Text Generation Experiment")
-
-#     with gr.Row():
-        
-    
-#         model_selection = gr.Dropdown(choices=model_choices(), 
-#                                      multiselect=False, 
-#                                      label="LLMs to choose from", 
-#                                      type="value", 
-#                                      value="orca-mini-3b-gguf2-q4_0.gguf")
-    
-#         explanation = gr.Textbox(label="Model Description", lines=3, interactive=False, value=llm_intro("orca-mini-3b-gguf2-q4_0.gguf"))
-    
-#         # Link the dropdown with the textbox to update the description based on the selected model
-#         model_selection.change(fn=llm_intro, inputs=model_selection, outputs=explanation)
-
-#     chatbot = gr.Chatbot()
-#     input_text = gr.Textbox(lines=3, label="Press shift+Enter to submit")
-#     # output_text = gr.Textbox(lines=10, label="Generated Text")
 #     clear = gr.ClearButton([input_text, chatbot])
 
-
-        
-
 # Define the chatbot function
 def generate_response(model_name, message, chat_history):
     model = load_model(model_name)
@@ -101,7 +77,7 @@ with gr.Blocks() as demo:
             model_dropdown.change(fn=llm_intro, inputs=model_dropdown, outputs=explanation)
             
         with gr.Column(scale=4):
-            chatbot = gr.Chatbot(label="Conversation", value=[(None, "How may I help you today?")])
+            chatbot = gr.Chatbot(label="Chatroom", value=[(None, "How may I help you today?")])
             
     message = gr.Textbox(label="Message")
     state = gr.State()