Upload app.py

app.py

@@ -473,10 +473,11 @@ gallery_images = natsorted(load_gallery_images())
 with gr.Blocks() as demo:
     gr.Markdown("# Map My Sections\n### This GUI is part of the submission to the Allen Institute's Map My Sections tool by Tibbling Technologies.")
 
-    gr.Markdown("### Step 1: Upload your sample and choose type")
+    gr.Markdown("### Step 1: Upload your sample, currently only .nii.gz and .png supported")
     with gr.Row():
         nifti_file = gr.File(label="File Upload")
         with gr.Column():
+          gr.Markdown("### Step 2: Select your sample and data type.")
           sample_type = gr.Dropdown(choices=["CCF registered Sample", "Custom Sample"], value="CCF registered Sample", label="Sample Type")
           data_type = gr.Radio(choices=["2D", "3D"], value="3D", label="Data Type")
 
@@ -484,21 +485,21 @@ with gr.Blocks() as demo:
 
     with gr.Row(visible=False) as slice_row:
         with gr.Column(scale=1):
-            gr.Markdown("### Step 2: Visualizing your uploaded sample")
+            gr.Markdown("### Step 3: Visualizing your uploaded sample")
             image_display = gr.Image(height=450)
             slice_slider = gr.Slider(minimum=0, maximum=0, value=0, step=1, label="Slices", visible=False)
         with gr.Column(scale=1):
-            gr.Markdown("### Step 3: Visualizing Allen Brain Cell Types Atlas")
+            gr.Markdown("### Step 4: Visualizing Allen Brain Cell Types Atlas")
             gallery = gr.Gallery(label="ABC Atlas", value = gallery_images,columns = 5, height = 450)
-            gr.Markdown("**Step 4: Run cell type mapping**")
+            gr.Markdown("### Step 5: Run cell type mappin and/or registeration. ")
             with gr.Row():
                 run_button = gr.Button("Run Mapping")
                 reg_button = gr.Button("Run Registration", visible=False)
 
     with gr.Column(visible=False) as plot_row:
-        gr.Markdown("### Step 5: Quantitative results of the mapping model.")
+        gr.Markdown("### Step 6: Quantitative results of the mapping model.")
         prob_plot = gr.BarPlot(prob_df, x="labels", y="values", title="Cell Type Probabilities", scroll_to_output=True, x_label_angle=-90, height=400)
-        download_step = gr.Markdown("### Step 6: Download Results.", visible = False)
+        download_step = gr.Markdown("### Step 7: Download Results.", visible = False)
         download_button = gr.DownloadButton(label="Download Results", visible = False)
 
     nifti_file.change(