Update app.py

app.py

@@ -5,18 +5,7 @@ from __future__ import annotations
 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
 
@@ -29,47 +18,46 @@ model = Model(base_model_id=DEFAULT_MODEL_ID, task_name="Canny")
 
 with gr.Blocks(css="style.css") as demo:
     gr.Markdown(DESCRIPTION)
-    gr.DuplicateButton(
-        value="Duplicate Space for private use",
+    gr.Button(
+        "Duplicate Space for private use",
         elem_id="duplicate-button",
         visible=SHOW_DUPLICATE_BUTTON,
     )
 
-    with gr.Tabs():
-        with gr.TabItem("Canny"):
-            create_demo_canny(model.process_canny)
-        with gr.TabItem("MLSD"):
-            create_demo_mlsd(model.process_mlsd)
-        with gr.TabItem("Scribble"):
-            create_demo_scribble(model.process_scribble)
-        with gr.TabItem("Scribble Interactive"):
-            create_demo_scribble_interactive(model.process_scribble_interactive)
-        with gr.TabItem("SoftEdge"):
-            create_demo_softedge(model.process_softedge)
-        with gr.TabItem("OpenPose"):
-            create_demo_openpose(model.process_openpose)
-        with gr.TabItem("Segmentation"):
-            create_demo_segmentation(model.process_segmentation)
-        with gr.TabItem("Depth"):
-            create_demo_depth(model.process_depth)
-        with gr.TabItem("Normal map"):
-            create_demo_normal(model.process_normal)
-        with gr.TabItem("Lineart"):
-            create_demo_lineart(model.process_lineart)
-        with gr.TabItem("Content Shuffle"):
-            create_demo_shuffle(model.process_shuffle)
-        with gr.TabItem("Instruct Pix2Pix"):
-            create_demo_ip2p(model.process_ip2p)
+    # Define the inputs and outputs for the interface
+    depth_inputs = [
+        gr.Image(type="numpy", label="Input Image"),
+        gr.Textbox(label="Prompt"),
+        gr.Textbox(label="Additional Prompt"),
+        gr.Textbox(label="Negative Prompt"),
+        gr.Slider(label="Number of Images", minimum=1, maximum=10, step=1, value=1),
+        gr.Slider(label="Image Resolution", minimum=256, maximum=1024, step=256, value=512),
+        gr.Slider(label="Preprocess Resolution", minimum=128, maximum=512, step=1, value=384),
+        gr.Slider(label="Number of Steps", minimum=1, maximum=100, step=1, value=20),
+        gr.Slider(label="Guidance Scale", minimum=0.1, maximum=30.0, step=0.1, value=7.5),
+        gr.Slider(label="Seed", minimum=0, maximum=1000000, step=1, value=0),
+        gr.Radio(label="Preprocessor", choices=["Midas", "DPT", "None"], value="DPT"),
+    ]
+
+    depth_outputs = [
+        gr.Gallery(label="Output Images"),
+    ]
+
+    interfaces = [
+        gr.Interface(fn=model.process_depth, inputs=depth_inputs, outputs=depth_outputs, live=False),
+    ]
+
+    gr.TabbedInterface(interface_list=interfaces, tab_names=["Depth"])
 
     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")
+                current_base_model = gr.Textbox(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(
+                new_base_model_id = gr.Textbox(
                     label="New base model",
                     max_lines=1,
                     placeholder="runwayml/stable-diffusion-v1-5",
@@ -89,7 +77,7 @@ with gr.Blocks(css="style.css") as demo:
         queue=False,
         api_name="check_base_model",
     )
-    gr.on(
+    gr.update(
         triggers=[new_base_model_id.submit, change_base_model_button.click],
         fn=model.set_base_model,
         inputs=new_base_model_id,
@@ -98,4 +86,4 @@ with gr.Blocks(css="style.css") as demo:
     )
 
 if __name__ == "__main__":
-    demo.queue(max_size=20).launch()
+    demo.queue(max_size=20).launch()