test markdown
Browse files
app.py
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@@ -128,6 +128,7 @@ def main(input_file_path, species):
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if __name__ == "__main__":
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css = """
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body {background-color: black; color: white;}
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.gradio-container {background-color: black; color: white;}
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with gr.Blocks(css=css) as demo:
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gr.Markdown(
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""
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)
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# Define Gradio inputs and outputs
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outputs=[image_output, file_output]
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demo.launch()
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if __name__ == "__main__":
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css = """
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body {background-color: black; color: white;}
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.gradio-container {background-color: black; color: white;}
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with gr.Blocks(css=css) as demo:
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gr.Markdown(
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'''
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<div style="text-align:center; margin-bottom:20px; color: white;">
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<span style="font-size:3em; font-weight:bold;">UCE 100M Demo</span>
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</div>
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<div style="text-align:center; margin-bottom:10px; color: white;">
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<span style="font-size:1.5em; font-weight:bold;">Universal Cell Embeddings: Explore Single Cell Data</span>
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</div>
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<div style="text-align:center; margin-bottom:20px;">
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<a href="https://github.com/minwoosun/UCE">
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<img src="https://badges.aleen42.com/src/github.svg" alt="GitHub" style="display:inline-block; margin-right:10px;">
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</a>
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<a href="https://arxiv.org/abs/2408.03322">
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<img src="https://img.shields.io/badge/arXiv-2408.03322-green?style=plastic" alt="Paper" style="display:inline-block; margin-right:10px;">
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</a>
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</div>
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<div style="text-align:left; margin-bottom:20px; color: white;">
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Upload a `.h5ad` single cell gene expression file and select the species (Human/Mouse).
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The demo will generate UMAP projections of the embeddings and allow you to download the embeddings for further analysis.
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</div>
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<div style="margin-bottom:20px; color: white;">
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<ol style="list-style:none; padding-left:0;">
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<li>1. Upload your `.h5ad` file</li>
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<li>2. Select the species</li>
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<li>3. View the UMAP scatter plot</li>
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<li>4. Download the UMAP coordinates</li>
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</ol>
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</div>
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<div style="text-align:left; line-height:1.8; color: white;">
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Please consider citing the following paper if you use this tool in your research:
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</div>
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<div style="text-align:left; line-height:1.8; color: white;">
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Sun, M., et al. Universal Cell Embeddings: A tool for single-cell analysis. arXiv:2408.03322 (2024)
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</div>
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'''
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# Define Gradio inputs and outputs
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outputs=[image_output, file_output]
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)
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demo.launch()
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