Fixed model selection.

app/gradio_meta_prompt.py

@@ -806,7 +806,7 @@ with gr.Blocks(title='Meta Prompt') as demo:
                 model_name_states["acceptance_criteria"],
                 model_temperature_states["acceptance_criteria"],
                 prompt_template_group],
-        outputs=[acceptance_criteria_output, logs_chatbot]
+        outputs=[acceptance_criteria_input, logs_chatbot]
     )
     generate_initial_system_message_button.click(
         generate_initial_system_message,

app/gradio_meta_prompt_utils.py

@@ -214,6 +214,8 @@ def on_prompt_model_tab_state_change(config, model_tab_select_state,
             advanced_optimizer_model_name, \
             config.default_llm_temperature, \
             advanced_optimizer_model_name, \
+            config.default_llm_temperature, \
+            advanced_executor_model_name, \
             config.default_llm_temperature
     elif model_tab_select_state == 'Expert':
         return expert_prompt_initial_developer_model_name, \