MingGatsby commited on
Commit
a7241b7
1 Parent(s): dcb3d5e

Update app.py

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Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -172,10 +172,10 @@ MRI_WINDOW_CENTER = st.sidebar.number_input("MRI Window Center", min_value=WINDO
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  MRI_WINDOW_WIDTH = st.sidebar.number_input("MRI Window Width", min_value=WINDOW_WIDTH_MIN, max_value=WINDOW_WIDTH_MAX, value=DEFAULT_MRI_WINDOW_WIDTH, step=1)
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  uploaded_ct_file = st.file_uploader("Upload a candidate CT DICOM", type=["dcm"])
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- # if uploaded_ct_file is not None:
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- # # Save the uploaded file to a temporary location
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- # with tempfile.NamedTemporaryFile(delete=False, suffix=".dcm") as temp_file:
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- # temp_file.write(uploaded_ct_file.getvalue())
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  # # Apply evaluation transforms to the DICOM image for model prediction
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  # image_tensor = eval_transforms(temp_file.name).unsqueeze(0).to(device)
 
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  MRI_WINDOW_WIDTH = st.sidebar.number_input("MRI Window Width", min_value=WINDOW_WIDTH_MIN, max_value=WINDOW_WIDTH_MAX, value=DEFAULT_MRI_WINDOW_WIDTH, step=1)
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  uploaded_ct_file = st.file_uploader("Upload a candidate CT DICOM", type=["dcm"])
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+ if uploaded_ct_file is not None:
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+ # Save the uploaded file to a temporary location
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+ with tempfile.NamedTemporaryFile(delete=False, suffix=".dcm") as temp_file:
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+ temp_file.write(uploaded_ct_file.getvalue())
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  # # Apply evaluation transforms to the DICOM image for model prediction
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  # image_tensor = eval_transforms(temp_file.name).unsqueeze(0).to(device)