Delete app.py

app.py

@@ -1,100 +0,0 @@
-#!/usr/bin/env python
-
-import gradio as gr
-import torch
-
-from app_canny import create_demo as create_demo_canny
-from app_depth import create_demo as create_demo_depth
-from app_ip2p import create_demo as create_demo_ip2p
-from app_lineart import create_demo as create_demo_lineart
-from app_mlsd import create_demo as create_demo_mlsd
-from app_normal import create_demo as create_demo_normal
-from app_openpose import create_demo as create_demo_openpose
-from app_scribble import create_demo as create_demo_scribble
-from app_scribble_interactive import create_demo as create_demo_scribble_interactive
-from app_segmentation import create_demo as create_demo_segmentation
-from app_shuffle import create_demo as create_demo_shuffle
-from app_softedge import create_demo as create_demo_softedge
-from model import Model
-from settings import ALLOW_CHANGING_BASE_MODEL, DEFAULT_MODEL_ID, SHOW_DUPLICATE_BUTTON
-
-DESCRIPTION = "# ControlNet v1.1"
-
-if not torch.cuda.is_available():
-    DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
-
-model = Model(base_model_id=DEFAULT_MODEL_ID, task_name="Canny")
-
-with gr.Blocks(css_paths="style.css") as demo:
-    gr.Markdown(DESCRIPTION)
-    gr.DuplicateButton(
-        value="Duplicate Space for private use",
-        elem_id="duplicate-button",
-        visible=SHOW_DUPLICATE_BUTTON,
-    )
-
-    with gr.Tabs():
-        with gr.Tab("Canny"):
-            create_demo_canny(model.process_canny)
-        with gr.Tab("MLSD"):
-            create_demo_mlsd(model.process_mlsd)
-        with gr.Tab("Scribble"):
-            create_demo_scribble(model.process_scribble)
-        with gr.Tab("Scribble Interactive"):
-            create_demo_scribble_interactive(model.process_scribble_interactive)
-        with gr.Tab("SoftEdge"):
-            create_demo_softedge(model.process_softedge)
-        with gr.Tab("OpenPose"):
-            create_demo_openpose(model.process_openpose)
-        with gr.Tab("Segmentation"):
-            create_demo_segmentation(model.process_segmentation)
-        with gr.Tab("Depth"):
-            create_demo_depth(model.process_depth)
-        with gr.Tab("Normal map"):
-            create_demo_normal(model.process_normal)
-        with gr.Tab("Lineart"):
-            create_demo_lineart(model.process_lineart)
-        with gr.Tab("Content Shuffle"):
-            create_demo_shuffle(model.process_shuffle)
-        with gr.Tab("Instruct Pix2Pix"):
-            create_demo_ip2p(model.process_ip2p)
-
-    with gr.Accordion(label="Base model", open=False):
-        with gr.Row():
-            with gr.Column(scale=5):
-                current_base_model = gr.Text(label="Current base model")
-            with gr.Column(scale=1):
-                check_base_model_button = gr.Button("Check current base model")
-        with gr.Row():
-            with gr.Column(scale=5):
-                new_base_model_id = gr.Text(
-                    label="New base model",
-                    max_lines=1,
-                    placeholder="stable-diffusion-v1-5/stable-diffusion-v1-5",
-                    info="The base model must be compatible with Stable Diffusion v1.5.",
-                    interactive=ALLOW_CHANGING_BASE_MODEL,
-                )
-            with gr.Column(scale=1):
-                change_base_model_button = gr.Button("Change base model", interactive=ALLOW_CHANGING_BASE_MODEL)
-        if not ALLOW_CHANGING_BASE_MODEL:
-            gr.Markdown(
-                """The base model is not allowed to be changed in this Space so as not to slow down the demo, but it can be changed if you duplicate the Space."""
-            )
-
-    check_base_model_button.click(
-        fn=lambda: model.base_model_id,
-        outputs=current_base_model,
-        queue=False,
-        api_name="check_base_model",
-    )
-    gr.on(
-        triggers=[new_base_model_id.submit, change_base_model_button.click],
-        fn=model.set_base_model,
-        inputs=new_base_model_id,
-        outputs=current_base_model,
-        api_name=False,
-        concurrency_id="main",
-    )
-
-if __name__ == "__main__":
-    demo.queue(max_size=20).launch()