Update app.py
Browse files
app.py
CHANGED
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@@ -279,11 +279,6 @@ with gr.Blocks(title = "Hello",
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with gr.Row():
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with gr.Column(scale=1):
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resize = gr.Number(label = 'max resize', value = 1000)
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gr.HTML("""<h4 style="color:white;"> Notes:<br>
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<li>you can load and process single-image tifs, but they won't display in the input field above.
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<li>the smallest dimension of a tif --> channels
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<li>you can load multiple files and download a zip of the segmentations
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</h4>""")
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#gr.HTML("""<h4 style="color:white;"> Note2: Only the first image of a tif will display the segmentations, but you can download segmentations for all planes. </h4>""")
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#filepath = gr.UploadButton("Upload (png, jpg, tif etc)", visible=True, file_count = "single")
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@@ -300,11 +295,13 @@ with gr.Blocks(title = "Hello",
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img_overlay = gr.Image(label = "Overlay", type = "pil", format = 'png') #, width = "50vw", height = "20vw")
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flows = gr.Image(label = "Cellpose flows", type = "pil", format = 'png') #, width = "50vw", height = "20vw")
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sample_list = []
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with gr.Row():
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with gr.Column(scale=1):
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resize = gr.Number(label = 'max resize', value = 1000)
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#gr.HTML("""<h4 style="color:white;"> Note2: Only the first image of a tif will display the segmentations, but you can download segmentations for all planes. </h4>""")
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#filepath = gr.UploadButton("Upload (png, jpg, tif etc)", visible=True, file_count = "single")
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img_overlay = gr.Image(label = "Overlay", type = "pil", format = 'png') #, width = "50vw", height = "20vw")
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flows = gr.Image(label = "Cellpose flows", type = "pil", format = 'png') #, width = "50vw", height = "20vw")
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gr.HTML("""<h4 style="color:white;"> Notes:<br>
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<li>you can load and process single-image tifs, but they won't display in the input field above.
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<li>the smallest dimension of a tif --> channels
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<li>you can load multiple files and download a zip of the segmentations
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<li>install Cellpose-SAM locally for full functionality.
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</h4>""")
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sample_list = []
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