Update app.py
Browse files
app.py
CHANGED
@@ -118,7 +118,7 @@ class model:
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protein_image = protein_image.unsqueeze(0)
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#protein_image = 1.0*(protein_image > .01)
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-
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formatted_predicted_sequence = run_sequence_prediction(
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sequence_input=sequence_input,
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nucleus_image=nucleus_image,
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@@ -126,7 +126,7 @@ class model:
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model=self.model,
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device=device,
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)
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-
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formatted_predicted_sequence = formatted_predicted_sequence[0]
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formatted_predicted_sequence = formatted_predicted_sequence.replace("<pad>","")
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formatted_predicted_sequence = formatted_predicted_sequence.replace("<cls>","")
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@@ -180,7 +180,7 @@ with gr.Blocks(theme='gradio/soft') as demo:
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nucleus_image = gr.ImageMask(
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label = "Nucleus Image",
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interactive = "True",
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-
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brush_color = "#ffffff",
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type = "pil"
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)
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protein_image = protein_image.unsqueeze(0)
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#protein_image = 1.0*(protein_image > .01)
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+
print('test1')
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formatted_predicted_sequence = run_sequence_prediction(
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sequence_input=sequence_input,
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nucleus_image=nucleus_image,
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model=self.model,
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device=device,
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)
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+
print('test2')
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formatted_predicted_sequence = formatted_predicted_sequence[0]
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formatted_predicted_sequence = formatted_predicted_sequence.replace("<pad>","")
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formatted_predicted_sequence = formatted_predicted_sequence.replace("<cls>","")
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nucleus_image = gr.ImageMask(
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label = "Nucleus Image",
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interactive = "True",
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+
image_mode = "L",
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brush_color = "#ffffff",
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type = "pil"
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)
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