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import os |
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import gradio as gr |
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import torch |
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from app_image_to_3d import create_demo as create_demo_image_to_3d |
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from app_text_to_3d import create_demo as create_demo_text_to_3d |
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from model import Model |
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DESCRIPTION = '# [Shap-E](https://github.com/openai/shap-e)' |
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if (SPACE_ID := os.getenv('SPACE_ID')) is not None: |
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DESCRIPTION += f'\n<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings. <a href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true"><img style="display: inline; margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space" /></a></p>' |
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if not torch.cuda.is_available(): |
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DESCRIPTION += '\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>' |
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model = Model() |
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with gr.Blocks(css='style.css') as demo: |
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gr.Markdown(DESCRIPTION) |
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with gr.Tabs(): |
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with gr.Tab(label='Text to 3D'): |
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create_demo_text_to_3d(model) |
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with gr.Tab(label='Image to 3D'): |
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create_demo_image_to_3d(model) |
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demo.queue(api_open=False, max_size=10).launch() |
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