updated gradio version
Browse files
app.py
CHANGED
@@ -4,6 +4,13 @@
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__all__ = ['block', 'make_clickable_model', 'make_clickable_user', 'get_submissions']
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# %% app.ipynb 0
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import gradio as gr
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import pandas as pd
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from huggingface_hub import list_models
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@@ -81,7 +88,7 @@ block = gr.Blocks()
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with block:
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gr.Markdown(
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"""# Gradio-powered leaderboard for the DreamBooth Hackathon
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Welcome to this Gradio-powered leaderboard! Select a theme and one of the dreambooth models trained by hackathon-participants, and key in your prompt as shown (eg., a photo of Shiba dog in a jungle). Note that, the image generation might take long (around 400 seconds) as it will have to load the respective model pipeline into memory.
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<br>**If you like a model demo, click on the model name in the table below and UPVOTE the model on Huggingface hub**<br><br>
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__all__ = ['block', 'make_clickable_model', 'make_clickable_user', 'get_submissions']
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# %% app.ipynb 0
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import subprocess
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def upgrade(package):
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subprocess.run([sys.executable, "-m", "pip", "install", "--upgrade", package])
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upgrade("gradio")
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import gradio as gr
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import pandas as pd
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from huggingface_hub import list_models
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with block:
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gr.Markdown(
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"""# Gradio-powered leaderboard-evaluator for the DreamBooth Hackathon
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Welcome to this Gradio-powered leaderboard! Select a theme and one of the dreambooth models trained by hackathon-participants, and key in your prompt as shown (eg., a photo of Shiba dog in a jungle). Note that, the image generation might take long (around 400 seconds) as it will have to load the respective model pipeline into memory.
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<br>**If you like a model demo, click on the model name in the table below and UPVOTE the model on Huggingface hub**<br><br>
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