diff --git a/modules/LoRA.py b/modules/LoRA.py
index 84e128fb..c95da6ee 100644
--- a/modules/LoRA.py
+++ b/modules/LoRA.py
@@ -10,6 +10,8 @@ def add_lora_to_model(lora_name):
 
     # Is there a more efficient way of returning to the base model?
     if lora_name == "None":
+        print(f"Reloading the model to remove the LoRA...")
         shared.model, shared.tokenizer = load_model(shared.model_name)
     else:
+        print(f"Adding the LoRA {lora_name} to the model...")
         shared.model = PeftModel.from_pretrained(shared.model, Path(f"loras/{lora_name}"))
diff --git a/modules/shared.py b/modules/shared.py
index 9d4484c4..488a1e96 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -56,7 +56,7 @@ settings = {
     },
     'lora_prompts': {
         'default': 'Common sense questions and answers\n\nQuestion: \nFactual answer:',
-        'alpaca-lora-7b': "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n### Instruction:\nWrite a Python script that generates text using the transformers library.\n### Response:\n"
+        'alpaca-lora-7b': "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n### Instruction:\nWrite a poem about the transformers Python library. \nMention the word \"large language models\" in that poem.\n### Response:\n"
     }
 }
 
diff --git a/server.py b/server.py
index 8dacc132..7d5ecc74 100644
--- a/server.py
+++ b/server.py
@@ -64,11 +64,15 @@ def load_model_wrapper(selected_model):
     return selected_model
 
 def load_lora_wrapper(selected_lora):
+    shared.lora_name = selected_lora
+    default_text = shared.settings['lora_prompts'][next((k for k in shared.settings['lora_prompts'] if re.match(k.lower(), shared.lora_name.lower())), 'default')]
+
     if not shared.args.cpu:
         gc.collect()
         torch.cuda.empty_cache()
     add_lora_to_model(selected_lora)
-    return selected_lora
+
+    return selected_lora, default_text
 
 def load_preset_values(preset_menu, return_dict=False):
     generate_params = {
@@ -156,6 +160,10 @@ def create_settings_menus(default_preset):
                         shared.gradio['length_penalty'] = gr.Slider(-5, 5, value=generate_params['length_penalty'], label='length_penalty')
                 shared.gradio['early_stopping'] = gr.Checkbox(value=generate_params['early_stopping'], label='early_stopping')
 
+    with gr.Row():
+        shared.gradio['lora_menu'] = gr.Dropdown(choices=available_loras, value=shared.lora_name, label='LoRA')
+        ui.create_refresh_button(shared.gradio['lora_menu'], lambda : None, lambda : {'choices': get_available_loras()}, 'refresh-button')
+
     with gr.Accordion('Soft prompt', open=False):
         with gr.Row():
             shared.gradio['softprompts_menu'] = gr.Dropdown(choices=available_softprompts, value='None', label='Soft prompt')
@@ -167,6 +175,7 @@ def create_settings_menus(default_preset):
 
     shared.gradio['model_menu'].change(load_model_wrapper, [shared.gradio['model_menu']], [shared.gradio['model_menu']], show_progress=True)
     shared.gradio['preset_menu'].change(load_preset_values, [shared.gradio['preset_menu']], [shared.gradio['do_sample'], shared.gradio['temperature'], shared.gradio['top_p'], shared.gradio['typical_p'], shared.gradio['repetition_penalty'], shared.gradio['encoder_repetition_penalty'], shared.gradio['top_k'], shared.gradio['min_length'], shared.gradio['no_repeat_ngram_size'], shared.gradio['num_beams'], shared.gradio['penalty_alpha'], shared.gradio['length_penalty'], shared.gradio['early_stopping']])
+    shared.gradio['lora_menu'].change(load_lora_wrapper, [shared.gradio['lora_menu']], [shared.gradio['lora_menu'], shared.gradio['textbox']], show_progress=True)
     shared.gradio['softprompts_menu'].change(load_soft_prompt, [shared.gradio['softprompts_menu']], [shared.gradio['softprompts_menu']], show_progress=True)
     shared.gradio['upload_softprompt'].upload(upload_soft_prompt, [shared.gradio['upload_softprompt']], [shared.gradio['softprompts_menu']])
 
@@ -226,8 +235,8 @@ else:
     shared.model_name = available_models[i]
 shared.model, shared.tokenizer = load_model(shared.model_name)
 if shared.args.lora:
+    print(shared.args.lora)
     shared.lora_name = shared.args.lora
-    print(f"Adding the LoRA {shared.lora_name} to the model...")
     add_lora_to_model(shared.lora_name)
 
 # Default UI settings
@@ -419,19 +428,6 @@ def create_interface():
             shared.gradio['Stop'].click(None, None, None, cancels=gen_events)
             shared.gradio['interface'].load(None, None, None, _js=f"() => {{{ui.main_js}}}")
 
-        with gr.Tab("LoRA", elem_id="lora"):
-            with gr.Row():
-                with gr.Column():
-                    gr.Markdown("Load")
-                    with gr.Row():
-                        shared.gradio['lora_menu'] = gr.Dropdown(choices=available_loras, value=shared.lora_name, label='LoRA')
-                        ui.create_refresh_button(shared.gradio['lora_menu'], lambda : None, lambda : {'choices': get_available_loras()}, 'refresh-button')
-                with gr.Column():
-                    gr.Markdown("Train (TODO)")
-                    gr.Button("Practice your button clicking skills")
-
-            shared.gradio['lora_menu'].change(load_lora_wrapper, [shared.gradio['lora_menu']], [shared.gradio['lora_menu']], show_progress=True)
-
         with gr.Tab("Interface mode", elem_id="interface-mode"):
             modes = ["default", "notebook", "chat", "cai_chat"]
             current_mode = "default"