10/24 first update from tryon

app.py

@@ -10,8 +10,62 @@ import gradio as gr
 def greet(name):
     return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def start_tryon():
+    return "Hello " + "**" + "!!"
+
+# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+# iface.launch()
+
+
+human_ex_list = []
+for ex_human in human_ex_list:
+    ex_dict = {}
+    ex_dict['background'] = ex_human
+    ex_dict['layers'] = None
+    ex_dict['composite'] = None
+    human_ex_list.append(ex_dict)
+
+## default human
+
+image_blocks = gr.Blocks().queue()
+
+with image_blocks as demo:
+    gr.Markdown("## Virtual Try On")
+    gr.Markdown("Virtual Try -n with your image and garment image.")
+    with gr.Row():
+        with gr.Column():
+            imgs = gr.ImageEditor(sources='upload', type='pil', label='Human, Mask with pen or use auto-masking', interactive=True)
+            with gr.Row():
+                is_checked = gr.Checkbox(label="Yes", info="Use auto-generated mask (Takes 5 seconds)", value=True)
+            with gr.Row():
+                is_checked_crop = gr.Checkbox(label="Yes", info="Use auto-crop & resizing", value=False)
+            ### EXAMPLE TODO
+            example = gr.Examples(
+                inputs=imgs,
+                example_per_page=10,
+                examples=human_ex_list
+            )
+        
+        with gr.Column():
+            garm_img = gr.Image(label="Garment", sources='upload', type='pil')
+            with gr.Row(elem_id="promt-container"):
+                prompt = gr.Textbox(placeholder="Description of garment ex) Short Sleeve Round Neck T-shirts", show_label=False, elem_id="prompt")
+            ### EXAPLE TODO
+        
+        with gr.Column():
+            masked_img = gr.Image(label="Masked iamge output", elem_id="masked-img", show_share_button=False)
+        with gr.Column():
+            image_out = gr.Image(label="Output", elem_id="output-img", show_share_button=False)
+
+    with gr.Column():
+        try_button = gr.Button(value="Try-on")
+        with gr.Accordion(label = "Advanced Settings", open=False):
+            with gr.Row():
+                denoise_steps = gr.Number(label="Denoising Steps", minimum=20, maximum=40, value=30, step=1)
+                seed = gr.Number(label="Seed", minimum=-1, maximum=2147483647, step=1, value=42)
+
+    try_button.click(fn=start_tryon, inputs=[imgs, garm_img, prompt, is_checked, is_checked_crop, denoise_steps, seed], outputs=[image_out, masked_img], api_name='tryon')
+
 
 print("why")
 print("s")

requirements.txt

@@ -0,0 +1 @@
+gradio==5.1.0