Update app.py

app.py

@@ -12,31 +12,34 @@ def load_nrrd(file_obj):
     data, _ = nrrd.read(file_obj)
     return data
 
-def visualize_slice(file_obj, slice_index, view):
+def get_num_slices(data, view):
+    if view == 'Axial':
+        return data.shape[2]
+    elif view == 'Coronal':
+        return data.shape[1]
+    elif view == 'Sagittal':
+        return data.shape[0]
+
+def extract_slice(data, view, slice_index):
+    if view == 'Axial':
+        return data[:, :, slice_index]
+    elif view == 'Coronal':
+        return data[:, slice_index, :]
+    elif view == 'Sagittal':
+        return data[slice_index, :, :]
+
+def visualize_slice(file_obj, view, slice_index):
     data = load_nrrd(file_obj)
-    
-    # Choose the appropriate slice based on the selected view
-    if view == "Axial":
-        num_slices = data.shape[2]
-        slice_index = min(max(0, slice_index), num_slices - 1)
-        slice_image = data[:, :, slice_index]
-    elif view == "Coronal":
-        num_slices = data.shape[1]
-        slice_index = min(max(0, slice_index), num_slices - 1)
-        slice_image = data[:, slice_index, :]
-    elif view == "Sagittal":
-        num_slices = data.shape[0]
-        slice_index = min(max(0, slice_index), num_slices - 1)
-        slice_image = data[slice_index, :, :]
-    
+    slice_image = extract_slice(data, view, slice_index)
+
     # Plot the slice
-    fig, ax = plt.subplots(figsize=(5, 5 * slice_image.shape[0] / slice_image.shape[1]))  # Keep aspect ratio
+    fig, ax = plt.subplots()
     ax.imshow(slice_image, cmap='gray')
     plt.axis('off')
     
     # Convert matplotlib figure to PIL Image
     buf = io.BytesIO()
-    fig.savefig(buf, format='png', bbox_inches='tight', pad_inches=0)
+    fig.savefig(buf, format='png')
     plt.close(fig)
     buf.seek(0)
     pil_img = Image.open(buf)
@@ -45,26 +48,22 @@ def visualize_slice(file_obj, slice_index, view):
 
 def update_slider(file_obj, view):
     data = load_nrrd(file_obj)
-    if view == "Axial":
-        max_slices = data.shape[2]
-    elif view == "Coronal":
-        max_slices = data.shape[1]
-    elif view == "Sagittal":
-        max_slices = data.shape[0]
-    return gr.update(maximum=max_slices-1, value=0)
+    num_slices = get_num_slices(data, view)
+    return gr.update(maximum=num_slices-1, value=0)
 
 with gr.Blocks() as app:
-    gr.Markdown("## NRRD Slice Visualizer with View Selector")
-    gr.Markdown("Upload an NRRD file, select a view (Axial, Coronal, Sagittal), and use the slider to select and visualize slices.")
+    gr.Markdown("## NRRD Slice Visualizer")
+    gr.Markdown("Upload an NRRD file, select a view, and use the slider to select and visualize slices.")
     
     file_input = gr.File(label="Upload NRRD File")
-    view_selector = gr.Radio(choices=["Axial", "Coronal", "Sagittal"], value="Axial", label="View Selector")
+    view_selector = gr.Radio(choices=["Axial", "Coronal", "Sagittal"], label="View Selector", value="Axial")
     slider = gr.Slider(minimum=0, maximum=1, step=1, value=0, label="Slice Selector")
     image_output = gr.Image(type="pil", label="Selected Slice")
     
     file_input.change(fn=update_slider, inputs=[file_input, view_selector], outputs=slider)
     view_selector.change(fn=update_slider, inputs=[file_input, view_selector], outputs=slider)
-    view_selector.change(fn=visualize_slice, inputs=[file_input, slider, view_selector], outputs=image_output)
-    slider.change(fn=visualize_slice, inputs=[file_input, slider, view_selector], outputs=image_output)
+    file_input.change(fn=visualize_slice, inputs=[file_input, view_selector, slider], outputs=image_output)
+    slider.change(fn=visualize_slice, inputs=[file_input, view_selector, slider], outputs=image_output)
+    view_selector.change(fn=visualize_slice, inputs=[file_input, view_selector, slider], outputs=image_output)
 
 app.launch()