Upload app.py

app.py

@@ -7,7 +7,7 @@ from dc import (infer, _infer, pass_result, get_diffusers_model_list, get_sample
     get_vaes, enable_model_recom_prompt, enable_diffusers_model_detail, extract_exif_data, esrgan_upscale, UPSCALER_KEYS,
     preset_quality, preset_styles, process_style_prompt, get_all_lora_tupled_list, update_loras, apply_lora_prompt,
     download_my_lora, search_civitai_lora, update_civitai_selection, select_civitai_lora, search_civitai_lora_json)
-from modutils import get_t2i_model_info, get_civitai_tag, CIVITAI_SORT, CIVITAI_PERIOD, CIVITAI_BASE_MODEL
+from modutils import get_t2i_model_info, get_civitai_tag, CIVITAI_SORT, CIVITAI_PERIOD, CIVITAI_BASEMODEL
 # Translator
 from llmdolphin import (dolphin_respond_auto, dolphin_parse_simple,
     get_llm_formats, get_dolphin_model_format, get_dolphin_models,
@@ -141,7 +141,7 @@ with gr.Blocks(fill_width=True, elem_id="container", css=css, delete_cache=(60,
                             lora5_md = gr.Markdown(value="", visible=False)
                     with gr.Accordion("From URL", open=True, visible=True):
                         with gr.Row():
-                            lora_search_civitai_basemodel = gr.CheckboxGroup(label="Search LoRA for", choices=CIVITAI_BASE_MODEL, value=["Pony", "SDXL 1.0"])
+                            lora_search_civitai_basemodel = gr.CheckboxGroup(label="Search LoRA for", choices=CIVITAI_BASEMODEL, value=["Pony", "SDXL 1.0"])
                             lora_search_civitai_sort = gr.Radio(label="Sort", choices=CIVITAI_SORT, value="Highest Rated")
                             lora_search_civitai_period = gr.Radio(label="Period", choices=CIVITAI_PERIOD, value="AllTime")
                         with gr.Row():
@@ -153,7 +153,7 @@ with gr.Blocks(fill_width=True, elem_id="container", css=css, delete_cache=(60,
                             lora_search_civitai_json = gr.JSON(value={}, visible=False)
                             lora_search_civitai_desc = gr.Markdown(value="", visible=False)
                         with gr.Accordion("Select from Gallery", open=False):
-                            lora_search_civitai_gallery = gr.Gallery([], label="Results", allow_preview=False, columns=5, elem_id="gallery", show_share_button=False, interactive=False)
+                            lora_search_civitai_gallery = gr.Gallery([], label="Results", allow_preview=False, columns=5, show_share_button=False, interactive=False)
                         lora_search_civitai_result = gr.Dropdown(label="Search Results", choices=[("", "")], value="", allow_custom_value=True, visible=False)
                         lora_download_url = gr.Textbox(label="LoRA URL", placeholder="https://civitai.com/api/download/models/28907", lines=1)
                         lora_download = gr.Button("Get and set LoRA and apply to prompt")