app.py

import gradio as gr
import numpy as np
import colorizers as c

from colorizers.util import postprocess_tens, preprocess_img

def interface(image, model: str = "eccv16"):
    if model == "eccv16":
        img = c.eccv16(pretrained=True).eval()
    else:
        img = c.siggraph17(pretrained=True).eval()
    oimg = np.asarray(image)
    if(oimg.ndim == 2):
        oimg = np.tile(oimg[:,:,None], 3)
    (tens_l_orig, tens_l_rs) = preprocess_img(oimg)

    output_img = postprocess_tens(
        tens_l_orig,
        img(tens_l_rs).cpu()
    )
    return output_img

css='''
.Box {
	background-color: var(--color-canvas-default);
	border-color: var(--color-border-default);
	border-style: solid;
	border-width: 1px;
	border-radius: 6px;
}
.d-flex {
	display: flex !important;
}
.flex-md-row {
	flex-direction: row !important;
}
.flex-column {
	flex-direction: column !important;
}
'''
title = "Image Colorization Using AI Models"
description = r"""<center>An automatic colorization functionality for Real-Time User-Guided Image Colorization with Learned Deep Priors,ECCV16 & SIGGRAPH 2017 Models!<br>
Practically the algorithm is used to COLORIZE your **old BLACK & WHITE / GRAYSCALE photos**.<br>
To use it, simply just upload the concerned image.<br>
"""
article = r"""
<p style='text-align: '> Given a grayscale photograph as input, this demo attacks the problem of hallucinating a plausible color version of the photograph. This problem is clearly underconstrained, so previous approaches have either relied on significant user interaction or resulted in desaturated colorizations. A fully automatic approach has been proposed that produces vibrant and realistic colorizations. The underlying uncertainty of the problem was embraced by posing it as a classification task and use class-rebalancing at training time to increase the diversity of colors in the result. The system is implemented as a feed-forward pass in a CNN at test time and is trained on over a million color images. The algorithm is evaluated using a "colorization Turing test," asking human participants to choose between a generated and ground truth color image. The method used here successfully fools humans on 32% of the trials, significantly higher than other methodology used by the other photo automation tools. Moreover, the colorization can be a powerful pretext task for self-supervised feature learning, acting as a cross-channel encoder. This approach results in state-of-the-art performance on several feature learning benchmarks. </p>
<img src="https://camo.githubusercontent.com/8f849fd53753e61659664d37849703d949209ec93957d1a2fd529be9772f7030/687474703a2f2f726963687a68616e672e6769746875622e696f2f636f6c6f72697a6174696f6e2f7265736f75726365732f696d616765732f746561736572342e6a7067" alt="Teaser Image" data-canonical-src="http://richzhang.github.io/colorization/resources/images/teaser4.jpg" style="max-width: 100%;">
<p>
  <img class="round" style="height:275px" src="http://richzhang.github.io/colorization/resources/images/net_diagram.jpg">
</p>
<div class="footer">
  <p>Built by <a href="" style="text-decoration: underline;" target="_blank">Dushyantsinh Jadeja</a> & the Model being used in here is from <a href="https://github.com/richzhang/colorization" style="text-decoration: underline;" target="_blank">richzhang</a> - Gradio Demo by 🤗 Hugging Face </p>
</div>
<div class="acknowledgments">
  <p>
  <h4>LICENSE</h4>
  </p>
  <p class="text-small color-fg-muted mb-0 lh-condensed-ultra"> richzhang/colorization is licensed under the </p>
  <h3 class="mt-0 mb-2 h4">BSD 2-Clause "Simplified" License</h3>
  <p class="mb-0 color-fg-muted text-small pr-2">A permissive license that comes in two variants, the BSD 2-Clause and BSD 3-Clause. Both have very minute differences to the MIT license.</p>
  <h4 class="mt-1 mb-2 h5">Permissions</h4>
  <ul class="list-style-none">
    <li class="text-small pl-3">
      <svg width="13" class="octicon octicon-check color-fg-success ml-n3 v-align-middle" viewBox="0 0 16 16" version="1.1" height="13" aria-hidden="true">
        <path fill-rule="evenodd" d="M13.78 4.22a.75.75 0 010 1.06l-7.25 7.25a.75.75 0 01-1.06 0L2.22 9.28a.75.75 0 011.06-1.06L6 10.94l6.72-6.72a.75.75 0 011.06 0z"></path>
      </svg>
      <span class="v-align-middle" title="The licensed material and derivatives may be used for commercial purposes."> Commercial use </span>
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      </svg>
      <span class="v-align-middle" title="The licensed material may be modified."> Modification </span>
    </li>
    <li class="text-small pl-3">
      <svg width="13" class="octicon octicon-check color-fg-success ml-n3 v-align-middle" viewBox="0 0 16 16" version="1.1" height="13" aria-hidden="true">
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      <span class="v-align-middle" title="The licensed material may be used and modified in private."> Private use </span>
    </li>
  </ul>
  <h4 class="mt-1 mb-2 h5">Limitations</h4>
  <ul class="list-style-none">
    <li class="text-small pl-3">
      <svg width="13" class="octicon octicon-x color-fg-danger ml-n3 v-align-middle" viewBox="0 0 16 16" version="1.1" height="13" aria-hidden="true">
        <path fill-rule="evenodd" d="M3.72 3.72a.75.75 0 011.06 0L8 6.94l3.22-3.22a.75.75 0 111.06 1.06L9.06 8l3.22 3.22a.75.75 0 11-1.06 1.06L8 9.06l-3.22 3.22a.75.75 0 01-1.06-1.06L6.94 8 3.72 4.78a.75.75 0 010-1.06z"></path>
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      <span class="v-align-middle" title="This license includes a limitation of liability."> Liability </span>
    </li>
    <li class="text-small pl-3">
      <svg width="13" class="octicon octicon-x color-fg-danger ml-n3 v-align-middle" viewBox="0 0 16 16" version="1.1" height="13" aria-hidden="true">
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      </svg>
      <span class="v-align-middle" title="This license explicitly states that it does NOT provide any warranty."> Warranty </span>
    </li>
  </ul>
  <h4 class="mt-1 mb-2 h5">Conditions</h4>
  <ul class="list-style-none">
    <li class="text-small pl-3">
      <svg width="13" class="octicon octicon-info color-fg-accent ml-n3 v-align-middle" viewBox="0 0 16 16" version="1.1" height="13" aria-hidden="true">
        <path fill-rule="evenodd" d="M8 1.5a6.5 6.5 0 100 13 6.5 6.5 0 000-13zM0 8a8 8 0 1116 0A8 8 0 010 8zm6.5-.25A.75.75 0 017.25 7h1a.75.75 0 01.75.75v2.75h.25a.75.75 0 010 1.5h-2a.75.75 0 010-1.5h.25v-2h-.25a.75.75 0 01-.75-.75zM8 6a1 1 0 100-2 1 1 0 000 2z"></path>
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      <span class="v-align-middle" title="A copy of the license and copyright notice must be included with the licensed material."> License and copyright notice </span>
    </li>
  </ul>
  <p class="color-fg-muted text-small mb-0 border-top col-12 float-left p-2 px-sm-3"> This is not legal advice. <a href="https://docs.github.com/articles/licensing-a-repository/#disclaimer">Learn more about repository licenses</a>. </p>
</div> For the full list of restrictions please <a href="https://github.dev/richzhang/colorization/blob/master/LICENSE" target="_blank" style="text-decoration: underline;" target="_blank">read the license</a>
</p>
<br>
<center>
  <img src='https://visitor-badge.glitch.me/badge?page_id=dj_colorization_eccv16siggraph17' alt='visitor badge'>
</center>
"""

#with gr.Interface(css=css) as mainBody:
gr.HTML("""<style>""" + css+ """</Style>""")
  
mainBody = gr.Interface(
    interface,
    [
        gr.components.Image(type="pil", label="image"),
        gr.components.Radio(
            ["eccv16", "siggraph17"],
            type="value",
            label="model"
        )
    ],
    [
        gr.components.Image(label="output")
    ],
    #inputs="sketchpad",
    #outputs="label",
    theme="huggingface",
    title=title,
    description=description,
    article=article,
    live=True,
)
mainBody.launch()