sanket kheni
commited on
Commit
β’
8845f1c
1
Parent(s):
48447e6
init
Browse files- LICENSE +21 -0
- README.md +8 -9
- modules/app.py +40 -0
- requirements.txt +5 -0
- start.py +3 -0
LICENSE
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MIT License
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Copyright (c) 2022 Ajay
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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---
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title:
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emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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sdk_version: 3.4
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app_file:
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pinned: false
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-
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: Colorize
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emoji: π
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 3.4
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app_file: start.py
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pinned: false
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license: mit
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---
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modules/app.py
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import os
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os.system("hub install deoldify==1.0.1")
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import gradio as gr
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import paddlehub as hub
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from pathlib import Path
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from datetime import datetime
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from typing import Optional
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model = hub.Module(name='deoldify')
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# NOTE: Max is 45 with 11GB video cards. 35 is a good default
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render_factor=35
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def colorize_image(image):
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# now = datetime.now().strftime("%Y%m%d-%H%M%S-%f")
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if not os.path.exists("./output"):
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os.makedirs("./output")
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# if image is not None:
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# image.save(f"./output/{now}-input.jpg")
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model.predict(image.name)
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return './output/DeOldify/'+Path(image.name).stem+".png"
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def create_interface():
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with gr.Blocks() as enhancer:
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gr.Markdown("Colorize old black & white photos")
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with gr.Column(scale=1, label = "Colorize photo", visible=True) as colorize_column:
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colorize_input = gr.Image(type="file")
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colorize_button = gr.Button("Colorize!")
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colorize_output = gr.Image(type="file")
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download_colorize_button = gr.outputs.File(label="Download colorized image!")
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colorize_button.click(colorize_image, inputs=colorize_input, outputs=colorize_output)
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enhancer.launch()
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def run_code():
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create_interface()
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# The main function
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run_code()
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requirements.txt
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paddlepaddle
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paddlehub
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gradio
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fastapi[all]==0.85.*
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uvicorn[standard]==0.18.*
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start.py
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import subprocess
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subprocess.run("uvicorn modules.app:app --host 0.0.0.0 --port 7860", shell=True)
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