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Browse files- .gitignore +2 -0
- app.py +81 -0
- requirements.txt +1 -0
.gitignore
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flagged
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caches
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app.py
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import gradio as gr
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from pathlib import Path
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from PIL import Image
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def convert_to_webp(input_image: str = None, quality=80):
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file_path = Path("caches") / "{}.{}".format(Path(input_image).stem, "webp")
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file_path.parent.mkdir(parents=True, exist_ok=True)
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img = Image.open(input_image)
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img = img.convert("RGBA")
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img.save(file_path, "WEBP", quality=quality)
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# reopen and check
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img_reopen = Image.open(file_path)
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img_reopen = img_reopen.convert("RGBA")
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return img_reopen, str(file_path)
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def process(input_list, quality=80):
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out_files = []
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out_images = []
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for path in input_list:
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img_reopen, file_path = convert_to_webp(path[0], quality)
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out_files.append(file_path)
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out_images.append(img_reopen)
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return out_files, out_images
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def run(server_name="127.0.0.1", server_port=7860):
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with gr.Blocks() as app:
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gr.Markdown(
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"""
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# WebP Converter
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Upload one or more image files and convert it to WebP format with adjustable quality.
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![]('F:/gradio-apps/image_to_webp/caches/1.webp')
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"""
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)
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with gr.Row(equal_height=False):
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with gr.Column():
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inputs = [
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gr.Gallery(
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label="Input images",
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show_label=True,
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elem_id="gallery",
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object_fit="contain",
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height="auto",
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columns=4,
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# min_width=100,
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),
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gr.Slider(
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minimum=1,
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maximum=100,
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value=80,
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step=1,
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label="Quality",
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),
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]
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btn = gr.Button("Converted WebP", variant="primary")
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with gr.Column():
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outputs = [
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gr.File(label="Converted WebP"),
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gr.Gallery(
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label="Re-check converted images",
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show_label=False,
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elem_id="gallery",
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object_fit="contain",
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height="auto",
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columns=4,
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),
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]
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btn.click(process, inputs=inputs, outputs=outputs)
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app.queue().launch(
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server_name=server_name, server_port=server_port, share=False
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)
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if __name__ == "__main__":
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run(server_name="0.0.0.0", server_port=7862)
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requirements.txt
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gradio==4.25.0
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