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Update app.py
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app.py
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import shlex
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import subprocess
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shlex.split(
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"pip install package/onnxruntime_gpu-1.17.0-cp310-cp310-manylinux_2_28_x86_64.whl --force-reinstall --no-deps"
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), check=True
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)
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subprocess.run(
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shlex.split(
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"pip install package/nvdiffrast-0.3.1.torch-cp310-cp310-linux_x86_64.whl --force-reinstall --no-deps"
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), check=True
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)
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if __name__ == "__main__":
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from huggingface_hub import snapshot_download
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snapshot_download("public-data/Unique3D", repo_type="model", local_dir="./ckpt")
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import os
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import sys
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sys.path.append(os.curdir)
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import torch
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torch.set_float32_matmul_precision('medium')
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torch.backends.cuda.matmul.allow_tf32 = True
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torch.set_grad_enabled(False)
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import fire
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import gradio as gr
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from gradio_app.gradio_3dgen import create_ui as create_3d_ui
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from gradio_app.all_models import model_zoo
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'''
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def launch():
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model_zoo.init_models()
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# theme=gr.themes.Monochrome(),
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) as demo:
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown('# ' + _TITLE)
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demo.queue().launch(share=True)
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if __name__ == '__main__':
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import shlex
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import subprocess
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import os
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import sys
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from huggingface_hub import snapshot_download
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import torch
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import fire
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import gradio as gr
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from gradio_app.gradio_3dgen import create_ui as create_3d_ui
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from gradio_app.all_models import model_zoo
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# Install required packages
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def setup_dependencies():
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subprocess.run(shlex.split("pip install pip==24.0"), check=True)
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subprocess.run(
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shlex.split(
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"pip install package/onnxruntime_gpu-1.17.0-cp310-cp310-manylinux_2_28_x86_64.whl --force-reinstall --no-deps"
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),
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check=True
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)
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subprocess.run(
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shlex.split(
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"pip install package/nvdiffrast-0.3.1.torch-cp310-cp310-linux_x86_64.whl --force-reinstall --no-deps"
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),
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check=True
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)
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# Download model checkpoints
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def setup_model():
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snapshot_download("public-data/Unique3D", repo_type="model", local_dir="./ckpt")
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# Configure PyTorch settings
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torch.set_float32_matmul_precision('medium')
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torch.backends.cuda.matmul.allow_tf32 = True
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torch.set_grad_enabled(False)
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# Application title
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_TITLE = 'Text to 3D'
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def launch():
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# Initialize models
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model_zoo.init_models()
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# Create Gradio interface
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with gr.Blocks(title=_TITLE) as demo:
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown('# ' + _TITLE)
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create_3d_ui("wkl")
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demo.queue().launch(share=True)
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if __name__ == '__main__':
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setup_dependencies()
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setup_model()
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sys.path.append(os.curdir)
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fire.Fire(launch)
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