origing=upper

app.py

@@ -112,8 +112,6 @@ def plot_activations(activation_1: list, activation_2: list, origin='lower'):
     
     ax1, ax2 = axs[0], axs[1]
     
-    # im0 = ax0.imshow(input_image, cmap=cmap,
-    #                  origin=origin)    
     im1 = ax1.imshow(activation_1, cmap=cmap,
                      origin=origin)
     im2 = ax2.imshow(activation_2, cmap=cmap, 
@@ -178,7 +176,7 @@ def predict_and_analyze(model_name, num_channels, dim, image):
     
     print("Plotting")
     
-    origin = 'lower'
+    origin = 'upper'
     
     # plot input image
     input_fig = plot_input(input_image, origin=origin)
@@ -217,8 +215,6 @@ if __name__ == "__main__":
         outputs=[gr.Textbox(lines=1, label="Prediction", show_label=True), 
                 # gr.Image(label="Input Image", show_label=True), 
                 gr.Plot(label="Input Image", show_label=True), 
-                #  gr.Image(label="Activation 1", show_label=True), 
-                #  gr.Image(label="Actication 2", show_label=True)],
                 gr.Plot(label="Mean-Subtracted Activations", show_label=True), 
                 gr.Plot(label="Raw Activations", show_label=True) 
                 ],