minwoosun commited on
Commit
690e71d
·
verified ·
1 Parent(s): a14ec14

update test css

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Files changed (1) hide show
  1. app.py +4 -31
app.py CHANGED
@@ -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;}
@@ -152,39 +153,11 @@ if __name__ == "__main__":
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  image_output = gr.Image(type="numpy", label="UMAP of UCE Embeddings")
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  file_output = gr.File(label="Download embeddings")
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- # Create the Gradio interface
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- demo = gr.Interface(
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  fn=main,
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  inputs=[file_input, species_input],
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- outputs=[image_output, file_output],
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- title="UCE 100M Demo",
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- description="Upload a .h5ad single cell gene expression file, and get a UMAP scatter plot along with the UMAP coordinates in a CSV file."
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  )
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  demo.launch()
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-
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-
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- # if __name__ == "__main__":
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-
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- # # Read the Markdown content from the .md file
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- # with open('description.md', 'r') as file:
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- # description_md = file.read()
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-
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- # # Define Gradio inputs and outputs
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- # file_input = gr.File(label="Upload a .h5ad single cell gene expression file")
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- # species_input = gr.Dropdown(choices=["human", "mouse"], label="Select species")
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- # image_output = gr.Image(type="numpy", label="UMAP of UCE Embeddings")
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- # file_output = gr.File(label="Download embeddings")
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-
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- # # Create the Gradio interface
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- # with gr.Blocks() as demo:
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- # gr.Markdown(description_md) # Add the Markdown section
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- # # Create the Gradio interface
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- # demo = gr.Interface(
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- # fn=main,
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- # inputs=[file_input, species_input],
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- # outputs=[image_output, file_output],
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- # title="UCE 100M Demo",
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- # description="Upload a .h5ad single cell gene expression file, and get a UMAP scatter plot along with the UMAP coordinates in a CSV file."
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- # ).launch()
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-
 
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  if __name__ == "__main__":
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+
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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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  image_output = gr.Image(type="numpy", label="UMAP of UCE Embeddings")
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  file_output = gr.File(label="Download embeddings")
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+ # Add the components to the Gradio interface
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+ demo.Interface(
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  fn=main,
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  inputs=[file_input, species_input],
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+ outputs=[image_output, file_output]
 
 
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  )
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  demo.launch()