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83 lines
2.8 KiB
Python
83 lines
2.8 KiB
Python
# Original source for the deepfrying code (used under the following license): https://github.com/Ovyerus/deeppyer
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# MIT License
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#
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# Copyright (c) 2017 Ovyerus
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#
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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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#
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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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#
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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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import io
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from random import randint, uniform
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from PIL import Image, ImageEnhance
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from ubot import ldr
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@ldr.add("deepfry", pattern_extra="(f|)", userlocking=True, help="Deepfries images, takes a number of passes as an argument.")
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async def deepfryer(event):
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as_file = bool(event.other_args[0])
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try:
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frycount = int(event.args)
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if frycount < 1:
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frycount = 1
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elif frycount > 10:
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frycount = 10
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except ValueError:
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frycount = 1
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data = await event.get_image()
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if not data:
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await event.reply("Reply to an image or sticker or caption an image to deep fry it!")
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return
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# Download photo (highres) as byte array
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image = io.BytesIO()
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await event.client.download_media(data, image)
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image = Image.open(image)
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for _ in range(frycount):
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image = await ldr.run_async(deepfrysync, image)
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fried_io = io.BytesIO()
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fried_io.name = "image.png"
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image.save(fried_io, "PNG")
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fried_io.seek(0)
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if event.is_reply:
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await reply_message.reply(file=fried_io, force_document=as_file)
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else:
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await event.reply(file=fried_io, force_document=as_file)
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def deepfrysync(img):
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# Generate color overlay
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overlay = img.copy()
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overlay = ImageEnhance.Contrast(overlay).enhance(uniform(0.7, 1.8))
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overlay = ImageEnhance.Brightness(overlay).enhance(uniform(0.8, 1.3))
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overlay = ImageEnhance.Color(overlay).enhance(uniform(0.7, 1.4))
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# Blend random colors onto and sharpen the image
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img = Image.blend(img, overlay, uniform(0.1, 0.4))
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img = ImageEnhance.Sharpness(img).enhance(randint(5, 200))
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return img
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