Spaces:
Running
on
Zero
Running
on
Zero
Update
Browse files- .pre-commit-config.yaml +35 -0
- .style.yapf +5 -0
- README.md +1 -1
- app.py +17 -49
.pre-commit-config.yaml
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repos:
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- repo: https://github.com/pre-commit/pre-commit-hooks
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rev: v4.2.0
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hooks:
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- id: check-executables-have-shebangs
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- id: check-json
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- id: check-merge-conflict
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- id: check-shebang-scripts-are-executable
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- id: check-toml
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- id: check-yaml
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- id: double-quote-string-fixer
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- id: end-of-file-fixer
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- id: mixed-line-ending
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args: ['--fix=lf']
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- id: requirements-txt-fixer
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- id: trailing-whitespace
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- repo: https://github.com/myint/docformatter
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rev: v1.4
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hooks:
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- id: docformatter
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args: ['--in-place']
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- repo: https://github.com/pycqa/isort
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rev: 5.12.0
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hooks:
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- id: isort
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- repo: https://github.com/pre-commit/mirrors-mypy
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rev: v0.991
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hooks:
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- id: mypy
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args: ['--ignore-missing-imports']
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- repo: https://github.com/google/yapf
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rev: v0.32.0
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hooks:
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- id: yapf
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args: ['--parallel', '--in-place']
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.style.yapf
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[style]
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based_on_style = pep8
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blank_line_before_nested_class_or_def = false
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spaces_before_comment = 2
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split_before_logical_operator = true
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README.md
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@@ -4,7 +4,7 @@ emoji: 😻
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colorFrom: green
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colorTo: gray
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sdk: gradio
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sdk_version: 3.
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app_file: app.py
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pinned: false
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---
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colorFrom: green
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colorTo: gray
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sdk: gradio
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sdk_version: 3.19.1
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app_file: app.py
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pinned: false
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---
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app.py
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from __future__ import annotations
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import argparse
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import functools
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import os
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import sys
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from data import read_img_path, tensor_to_img
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from model import UnetGenerator
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TITLE = '
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DESCRIPTION = 'This is an unofficial demo for https://github.com/Mukosame/Anime2Sketch.'
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ARTICLE = '<center><img src="https://visitor-badge.glitch.me/badge?page_id=hysts.anime2sketch" alt="visitor badge"/></center>'
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def parse_args() -> argparse.Namespace:
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parser = argparse.ArgumentParser()
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parser.add_argument('--device', type=str, default='cpu')
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parser.add_argument('--theme', type=str)
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parser.add_argument('--live', action='store_true')
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parser.add_argument('--share', action='store_true')
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parser.add_argument('--port', type=int)
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parser.add_argument('--disable-queue',
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dest='enable_queue',
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action='store_false')
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parser.add_argument('--allow-flagging', type=str, default='never')
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return parser.parse_args()
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def load_model(device: torch.device) -> nn.Module:
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path = huggingface_hub.hf_hub_download('hysts/Anime2Sketch',
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'netG.pth',
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use_auth_token=
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ckpt = torch.load(path)
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for key in list(ckpt.keys()):
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if 'module.' in key:
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@torch.inference_mode()
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def run(image_file,
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model: nn.Module,
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device: torch.device,
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load_size: int = 512) -> PIL.Image.Image:
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tensor, orig_size = read_img_path(image_file
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tensor = tensor.to(device)
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out = model(tensor)
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res = tensor_to_img(out)
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return res
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device = torch.device(args.device)
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model = load_model(device)
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func = functools.partial(run, model=model, device=device)
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func = functools.update_wrapper(func, run)
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examples = [['Anime2Sketch/test_samples/madoka.jpg']]
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func,
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gr.inputs.Image(type='file', label='Input'),
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gr.outputs.Image(type='pil', label='Output'),
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examples=examples,
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title=TITLE,
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description=DESCRIPTION,
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article=ARTICLE,
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theme=args.theme,
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allow_flagging=args.allow_flagging,
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live=args.live,
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).launch(
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enable_queue=args.enable_queue,
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server_port=args.port,
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share=args.share,
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)
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-
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from __future__ import annotations
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import functools
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import os
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import sys
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from data import read_img_path, tensor_to_img
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from model import UnetGenerator
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TITLE = 'Anime2Sketch'
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DESCRIPTION = 'This is an unofficial demo for https://github.com/Mukosame/Anime2Sketch.'
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HF_TOKEN = os.getenv('HF_TOKEN')
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def load_model(device: torch.device) -> nn.Module:
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path = huggingface_hub.hf_hub_download('hysts/Anime2Sketch',
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'netG.pth',
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use_auth_token=HF_TOKEN)
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ckpt = torch.load(path)
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for key in list(ckpt.keys()):
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if 'module.' in key:
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@torch.inference_mode()
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def run(image_file: str,
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model: nn.Module,
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device: torch.device,
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load_size: int = 512) -> PIL.Image.Image:
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tensor, orig_size = read_img_path(image_file, load_size)
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tensor = tensor.to(device)
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out = model(tensor)
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res = tensor_to_img(out)
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return res
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device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
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model = load_model(device)
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func = functools.partial(run, model=model, device=device)
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examples = [['Anime2Sketch/test_samples/madoka.jpg']]
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gr.Interface(
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fn=func,
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inputs=gr.Image(label='Input', type='filepath'),
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outputs=gr.Image(label='Output', type='pil'),
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examples=examples,
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title=TITLE,
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description=DESCRIPTION,
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).queue().launch(show_api=False)
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