Upload app.py

app.py

@@ -144,7 +144,7 @@ with gr.Blocks(theme=gr.themes.Soft(), fill_width=True, css=css) as app:
                             v2_copy = gr.Button(value="Copy to clipboard", size="sm", interactive=False, visible=False)
                         tagger_algorithms = gr.CheckboxGroup(["Use WD Tagger", "Use CogFlorence-2.1-Large", "Use Florence-2-Flux"], label="Algorithms", value=["Use WD Tagger"])
                         tagger_generate_from_image = gr.Button(value="Generate Prompt from Image")
-                    prompt = gr.Textbox(label="Prompt", lines=1, placeholder="Type a prompt after selecting a LoRA")
+                    prompt = gr.Textbox(label="Prompt", lines=1, max_lines=8, placeholder="Type a prompt")
             with gr.Column(scale=1, elem_id="gen_column"):
                 generate_button = gr.Button("Generate", variant="primary", elem_id="gen_btn")
         with gr.Row():
@@ -195,7 +195,7 @@ with gr.Blocks(theme=gr.themes.Soft(), fill_width=True, css=css) as app:
                                 with gr.Row():
                                     lora_repo[i] = gr.Dropdown(label=f"LoRA {int(i+1)} Repo", choices=get_all_lora_tupled_list(), info="Input LoRA Repo ID", value="", allow_custom_value=True)
                                     lora_weights[i] = gr.Dropdown(label=f"LoRA {int(i+1)} Filename", choices=[], info="Optional", value="", allow_custom_value=True)
-                                    lora_trigger[i] = gr.Textbox(label=f"LoRA {int(i+1)} Trigger Prompt", value="")
+                                    lora_trigger[i] = gr.Textbox(label=f"LoRA {int(i+1)} Trigger Prompt", lines=1, max_lines=4, value="")
                                     lora_wt[i] = gr.Slider(label=f"LoRA {int(i+1)} Scale", minimum=-2, maximum=2, step=0.01, value=1.00)
                                 with gr.Row():
                                     lora_info[i] = gr.Textbox(label="", info="Example of prompt:", value="", show_copy_button=True, interactive=False, visible=False)