minwoosun commited on
Commit
2190bca
1 Parent(s): dcbe609

remove custom black css

Browse files
Files changed (1) hide show
  1. app.py +5 -33
app.py CHANGED
@@ -170,42 +170,14 @@ def main(input_file_path, species, default_dataset):
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  if __name__ == "__main__":
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- # css = """
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- # body {background-color: white; color: black;}
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- # .gradio-container {background-color: white; color: black;}
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- # .gr-file, .gr-image {background-color: #f0f0f0; color: black; border-color: black;}
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-
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- # /* Custom styles for the run button */
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- # .run-button {
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- # background-color: #ffb714; /* Button color */
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- # color: black; /* White text color */
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- # border: none; /* Remove border */
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- # padding: 10px 20px; /* Add some padding */
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- # font-size: 16px; /* Increase font size */
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- # cursor: pointer; /* Change cursor to pointer */
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- # border-radius: 5px; /* Add rounded corners */
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- # transition: background-color 0.3s ease; /* Smooth transition */
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- # }
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-
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- # .run-button:hover {
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- # background-color: #e6a600; /* Darker shade on hover */
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- # }
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-
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- # /* Ensure text in ordered lists is black in both light and dark modes */
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- # ol, li {
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- # color: black !important;
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- # }
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- # """
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-
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- # with gr.Blocks(css=css) as demo:
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  with gr.Blocks() as demo:
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  gr.Markdown(
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  '''
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  <div style="text-align:center; margin-bottom:20px;">
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- <span style="font-size:3em; font-weight:bold; color: black;">UCE 100M Demo 🦠</span>
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  </div>
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  <div style="text-align:center; margin-bottom:10px;">
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- <span style="font-size:1.5em; font-weight:bold; color: black;">Universal Cell Embeddings: Zero-Shot Cell-Type Classification in Action!</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">
@@ -218,7 +190,7 @@ if __name__ == "__main__":
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  <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab" 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: black;">
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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>
@@ -230,10 +202,10 @@ if __name__ == "__main__":
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  <li>4. Download the UCE embeddings and predicted cell-types</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: black;">
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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: black;">
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  Rosen, Y., Roohani, Y., Agarwal, A., Samotorčan, L., Tabula Sapiens Consortium, Quake, S. R., & Leskovec, J. Universal Cell Embeddings: A Foundation Model for Cell Biology. bioRxiv. https://doi.org/10.1101/2023.11.28.568918
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  </div>
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  '''
 
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  if __name__ == "__main__":
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  with gr.Blocks() as demo:
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  gr.Markdown(
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  '''
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  <div style="text-align:center; margin-bottom:20px;">
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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;">
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+ <span style="font-size:1.5em; font-weight:bold;">Universal Cell Embeddings: Zero-Shot Cell-Type Classification in Action!</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://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab" 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;">
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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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  <li>4. Download the UCE embeddings and predicted cell-types</li>
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  </ol>
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  </div>
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+ <div style="text-align:left; line-height:1.8;">
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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;">
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  Rosen, Y., Roohani, Y., Agarwal, A., Samotorčan, L., Tabula Sapiens Consortium, Quake, S. R., & Leskovec, J. Universal Cell Embeddings: A Foundation Model for Cell Biology. bioRxiv. https://doi.org/10.1101/2023.11.28.568918
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  </div>
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  '''