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Browse files- gradio_seg2image.py +93 -3
gradio_seg2image.py
CHANGED
@@ -6,6 +6,93 @@ from PIL import Image
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#first elem of gallery is ^^ - {'name': '/tmp/tmpw60bbw6k.png', 'data': 'file=/tmp/tmpw60bbw6k.png', 'is_file': True}
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#first elem of gallery is ^^ - {'name': '/tmp/tmpba0d5dt5.png', 'data': 'file=/tmp/tmpba0d5dt5.png', 'is_file': True}
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def dummyfun(result_gallery):
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print(f"type of gallery is ^^ - {type(result_gallery)}")
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print(f"length of gallery is ^^ - {len(result_gallery)}")
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@@ -19,7 +106,7 @@ def dummyfun(result_gallery):
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# Print the filename
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#print(f"filename is ^^ - {filename}")
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return result_gallery[
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def create_demo(process, max_images=12):
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with gr.Blocks() as demo:
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@@ -73,12 +160,14 @@ def create_demo(process, max_images=12):
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'longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality'
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)
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with gr.Column():
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result_gallery = gr.Gallery(label='Output',
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show_label=False,
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elem_id='gallery').style(
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grid=2, height='auto')
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b1 = gr.Button('Get filenames')
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filename = gr.Textbox(label="image file names")
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ips = [
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input_image, prompt, a_prompt, n_prompt, num_samples,
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image_resolution, detect_resolution, ddim_steps, scale, seed, eta
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@@ -88,5 +177,6 @@ def create_demo(process, max_images=12):
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outputs=[result_gallery],
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api_name='seg')
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b1.click(dummyfun, [result_gallery], [filename])
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return demo
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#first elem of gallery is ^^ - {'name': '/tmp/tmpw60bbw6k.png', 'data': 'file=/tmp/tmpw60bbw6k.png', 'is_file': True}
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#first elem of gallery is ^^ - {'name': '/tmp/tmpba0d5dt5.png', 'data': 'file=/tmp/tmpba0d5dt5.png', 'is_file': True}
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import numpy as np
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import base64
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def encode(input_image):
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# Convert NumPy array to bytes
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img_bytes = np.ndarray.tobytes(img_array)
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# Encode the bytes using Base64
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encoded_string = base64.b64encode(img_bytes).decode('utf-8')
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# Print and return the encoded string
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#print(encoded_string)
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return encoded_string
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def create_imgcomp(input_image, filename):
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encoded_string = encode(input_image)
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htmltag = '<img src= "data:image/jpeg;base64,' + encoded_string + '"/></div> <img src= "https://ysharma-ControlNetSegmentation.hf.space/file=' + filename + '"/>'
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#https://ysharma-controlnetsegmentation.hf.space/file=/tmp/tmpqcz9yeta.png
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desc = """
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<style>
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body {
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background: rgb(17, 17, 17);
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}
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.image-slider {
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margin-left: 3rem;
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position: relative;
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display: inline-block;
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line-height: 0;
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}
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.image-slider img {
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user-select: none;
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max-width: 400px;
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}
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.image-slider > div {
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position: absolute;
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width: 25px;
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max-width: 100%;
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overflow: hidden;
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resize: horizontal;
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}
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.image-slider > div:before {
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content: '';
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display: block;
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width: 13px;
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height: 13px;
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overflow: hidden;
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position: absolute;
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resize: horizontal;
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right: 3px;
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bottom: 3px;
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background-clip: content-box;
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background: linear-gradient(-45deg, black 50%, transparent 0);
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-webkit-filter: drop-shadow(0 0 2px black);
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filter: drop-shadow(0 0 2px black);
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}
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</style>
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</head>
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<body>
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<div style="margin: 3rem;
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font-family: Roboto, sans-serif">
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<h1 style="color: green">
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GeeksforGeeks
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</h1>
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<h3 style="color: aliceblue">
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CSS Image Comparison Slider
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</h3>
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</div>
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<div>
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<div class="image-slider">
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<div> """ + htmltag +
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"""</div>
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</div>
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</body>
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</html>
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"""
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return desc
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def dummyfun(result_gallery):
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print(f"type of gallery is ^^ - {type(result_gallery)}")
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print(f"length of gallery is ^^ - {len(result_gallery)}")
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# Print the filename
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#print(f"filename is ^^ - {filename}")
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return result_gallery[1]['name'] #+ ',' + result_gallery[1]['name'] #filename
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def create_demo(process, max_images=12):
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with gr.Blocks() as demo:
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'longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality'
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)
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with gr.Column():
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result_gallery = gr.Gallery(label='Output', visible= False,
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show_label=False,
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elem_id='gallery').style(
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grid=2, height='auto')
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b1 = gr.Button('Get filenames')
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filename = gr.Textbox(label="image file names")
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b2 = gr.Button('Show Image-Comparison')
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imagecomp = gr.HTML(value = desc)
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ips = [
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input_image, prompt, a_prompt, n_prompt, num_samples,
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image_resolution, detect_resolution, ddim_steps, scale, seed, eta
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outputs=[result_gallery],
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api_name='seg')
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b1.click(dummyfun, [result_gallery], [filename])
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b2.click(create_imgcomp, [input_image, filename], [imagecomp])
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return demo
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