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Update app.py
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app.py
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@@ -1,13 +1,30 @@
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import gradio as gr
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import subprocess
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import os
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def generate(image, prompt, seed):
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print(image, prompt, seed)
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image_path = os.path.splitext(image)[0]
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image_name = os.path.basename(image_path)
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print(f"IMAGE NAME: {image_name}")
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command = f"python handrefiner.py --input_img {
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try:
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result = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
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output_path = 'output'
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print("Error:", e.stderr)
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return None
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with gr.Blocks() as demo:
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with gr.
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button.click(fn=generate, inputs=[image, textbox, seed], outputs=[output_image])
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demo.queue().launch(inline=False, share=True, debug=True)
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import gradio as gr
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import subprocess
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import os
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from PIL import Image
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def resize_image(image_path, target_height, output_path):
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# Open the image file
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with Image.open(image_path) as img:
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# Calculate the ratio to resize the image to the target height
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ratio = target_height / float(img.size[1])
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# Calculate the new width based on the aspect ratio
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new_width = int(float(img.size[0]) * ratio)
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# Resize the image
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resized_img = img.resize((new_width, target_height), Image.LANCZOS)
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# Save the resized image
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resized_img.save(output_path)
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return resized_img
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def generate(image, prompt, seed):
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print(image, prompt, seed)
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image_path = os.path.splitext(image)[0]
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image_name = os.path.basename(image_path)
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resized=resize_image(image, 512, f"output/{image_name}.jpg")
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print(f"IMAGE NAME: {image_name}")
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command = f"python handrefiner.py --input_img {resized} --out_dir output --strength 0.55 --weights models/inpaint_depth_control.ckpt --prompt '{prompt}' --seed {seed}"
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try:
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result = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
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output_path = 'output'
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print("Error:", e.stderr)
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return None
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css="""
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#col-container{
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max-width: 860px;
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margin: 0 auto;
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}
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"""
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with gr.Blocks() as demo:
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with gr.Column(elem_id="col-container"):
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gr.HTML("""
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<h2 style="text-aligb: center;">
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HandRefiner
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</h2>
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""")
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with gr.Row():
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with gr.Column():
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image = gr.Image(type='filepath')
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textbox = gr.Textbox(show_label=False, value="a person facing the camera, making a hand gesture, indoor")
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seed = gr.Slider(label="Seed", minimum=0, maximum=1000000, value=643534)
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button = gr.Button()
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output_image = gr.Image(show_label=False, type="filepath", interactive=False, height=512, width=512)
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button.click(fn=generate, inputs=[image, textbox, seed], outputs=[output_image])
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demo.queue().launch(inline=False, share=True, debug=True)
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