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app.py
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import gradio as gr
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import spaces
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from PIL import Image
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# Import necessary functions from main_code_script
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from main_code_script import start_tryon # Adjust import as needed
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import os
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example_path = os.path.join(os.path.dirname(__file__), 'example') # [cite: 61]
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garm_list = os.listdir(os.path.join(example_path, "cloth")) # [cite: 83]
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garm_list_path = [os.path.join(example_path, "cloth", garm) for garm in garm_list] # [cite: 83]
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human_list = os.listdir(os.path.join(example_path, "human")) # [cite: 83]
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human_list_path = [os.path.join(example_path, "human", human) for human in human_list] # [cite: 83]
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human_ex_list =''
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for ex_human in human_list_path:
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ex_dict = {}
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ex_dict['background'] = ex_human
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ex_dict['layers'] = None
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ex_dict['composite'] = None
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human_ex_list.append(ex_dict) # [cite: 83]
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##default human
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image_blocks = gr.Blocks(theme="Nymbo/Alyx_Theme").queue() # [cite: 83, 84]
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with image_blocks as demo:
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gr.HTML("<center><h1>Virtual Try-On</h1></center>") # [cite: 84]
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gr.HTML("<center><p>Upload an image of a person and an image of a garment ✨ </p></center>") # [cite: 84]
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with gr.Row():
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with gr.Column():
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imgs = gr.ImageEditor(sources='upload', type="pil", label='Human. Mask with pen or use auto-masking', interactive=True) # [cite: 84, 85]
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with gr.Row():
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is_checked = gr.Checkbox(label="Yes", info="Use auto-generated mask (Takes 5 seconds)", value=True) # [cite: 85]
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with gr.Row():
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is_checked_crop = gr.Checkbox(label="Yes", info="Use auto-crop & resizing", value=False) # [cite: 85]
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example = gr.Examples(
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inputs=imgs,
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examples_per_page=10,
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examples=human_ex_list
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) # [cite: 85, 86]
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with gr.Column():
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garm_img = gr.Image(label="Garment", sources='upload', type="pil") # [cite: 86, 87]
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with gr.Row(elem_id="prompt-container"):
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with gr.Row():
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prompt = gr.Textbox(placeholder="Description of garment ex) Short Sleeve Round Neck T-shirts", show_label=False, elem_id="prompt")
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example = gr.Examples(
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inputs=garm_img,
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examples_per_page=8,
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examples=garm_list_path) # [cite: 87, 88]
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with gr.Column():
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# image_out = gr.Image(label="Output", elem_id="output-img", height=400)
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masked_img = gr.Image(label="Masked image output", elem_id="masked-img", show_share_button=False) # [cite: 88]
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with gr.Column():
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# image_out = gr.Image(label="Output", elem_id="output-img", height=400)
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image_out = gr.Image(label="Output", elem_id="output-img", show_share_button=False) # [cite: 88, 89]
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with gr.Column():
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try_button = gr.Button(value="Try-on") # [cite: 89]
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with gr.Accordion(label="Advanced Settings", open=False):
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with gr.Row():
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denoise_steps = gr.Number(label="Denoising Steps", minimum=20, maximum=40, value=30, step=1) # [cite: 89]
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seed = gr.Number(label="Seed", minimum=-1, maximum=2147483647, step=1, value=42) # [cite: 89]
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try_button.click(fn=start_tryon, inputs=[imgs, garm_img, prompt, is_checked, is_checked_crop, denoise_steps, seed],
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outputs=[image_out, masked_img], api_name='tryon') # [cite: 89]
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if __name__ == "__main__":
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image_blocks.launch()
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