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https://github.com/gradio-app/gradio.git
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597337dcb8
* added playground with 12 demos * change name to recipes, restyle navbar * add explanatory text to page * fix demo mapping * categorize demos, clean up design * styling * cateogry naming and emojis * refactor and add text demos * add view code button * remove opening slash in embed * styling * add image demos * adding plot demos * remove see code button * removed submodules * changes * add audio models * remove fun section * remove tests in image semgentation demo repo * requested changes * add outbreak_forecast * fix broken demos * remove images and models, add new demos * remove readmes, change to run.py, add description as comment * move to /demos folder, clean up dict * add upload_to_spaces script * fix script, clean repos, and add to docker file * fix python versioning issue * env variable * fix * env fixes * spaces instead of tabs * revert to original networking.py * fix rate limiting in asr and autocomplete * change name to demos * clean up navbar * move url and description, remove code comments * add tabs to demos * remove margins and footer from embedded demo * font consistency Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
22 lines
598 B
Python
22 lines
598 B
Python
import gradio as gr
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import numpy as np
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import time
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# define core fn, which returns a generator {steps} times before returning the image
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def fake_diffusion(steps):
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for _ in range(steps):
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time.sleep(1)
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image = np.random.random((600, 600, 3))
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yield image
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image = "https://i.picsum.photos/id/867/600/600.jpg?hmac=qE7QFJwLmlE_WKI7zMH6SgH5iY5fx8ec6ZJQBwKRT44"
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yield image
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demo = gr.Interface(fake_diffusion,
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inputs=gr.Slider(1, 10, 3),
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outputs="image")
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# define queue - required for generators
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demo.queue()
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demo.launch() |