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Browse files- README.md +7 -7
- cheetah.jpg +0 -0
- requirements.txt +1 -0
- run.ipynb +1 -0
- run.py +27 -0
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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sdk: gradio
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sdk_version: 4.4.1
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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: image_editor_main
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emoji: 🔥
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colorFrom: indigo
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colorTo: indigo
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sdk: gradio
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sdk_version: 4.4.1
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app_file: run.py
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pinned: false
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hf_oauth: true
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---
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cheetah.jpg
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requirements.txt
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https://gradio-builds.s3.amazonaws.com/9caddc17b1dea8da1af8ba724c6a5eab04ce0ed8/gradio-4.4.1-py3-none-any.whl
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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: image_editor"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/image_editor/cheetah.jpg"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import time\n", "\n", "\n", "def sleep(im):\n", " time.sleep(5)\n", " return [im[\"background\"], im[\"layers\"][0], im[\"layers\"][1], im[\"composite\"]]\n", "\n", "\n", "with gr.Blocks() as demo:\n", " im = gr.ImageEditor(\n", " type=\"pil\",\n", " crop_size=\"1:1\",\n", " )\n", "\n", " with gr.Group():\n", " with gr.Row():\n", " im_out_1 = gr.Image(type=\"pil\")\n", " im_out_2 = gr.Image(type=\"pil\")\n", " im_out_3 = gr.Image(type=\"pil\")\n", " im_out_4 = gr.Image(type=\"pil\")\n", "\n", " btn = gr.Button()\n", " im.change(sleep, outputs=[im_out_1, im_out_2, im_out_3, im_out_4], inputs=im)\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
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run.py
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import gradio as gr
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import time
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def sleep(im):
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time.sleep(5)
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return [im["background"], im["layers"][0], im["layers"][1], im["composite"]]
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with gr.Blocks() as demo:
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im = gr.ImageEditor(
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type="pil",
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crop_size="1:1",
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)
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with gr.Group():
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with gr.Row():
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im_out_1 = gr.Image(type="pil")
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im_out_2 = gr.Image(type="pil")
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im_out_3 = gr.Image(type="pil")
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im_out_4 = gr.Image(type="pil")
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btn = gr.Button()
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im.change(sleep, outputs=[im_out_1, im_out_2, im_out_3, im_out_4], inputs=im)
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if __name__ == "__main__":
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demo.launch()
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