Updating CSV file

app.py

@@ -86,7 +86,7 @@ def new__cxr(max_dense_0, max_dense_1, max_dense_2):
     dense_1 = np.where(((textured_cxr<scaled_thresh2) & (textured_cxr>=scaled_thresh1)), textured_cxr, 0)
     dense_2 = np.where(((textured_cxr<scaled_thresh3) & (textured_cxr>=scaled_thresh2)), textured_cxr, 0)
     dense_3 = np.where(((textured_cxr<255) & (textured_cxr>=scaled_thresh3)), textured_cxr, 0)
-    return cxr, textured_cxr, lung_noised, dense_0, dense_1, dense_2, dense_3, count
+    return cxr, textured_cxr, lung_noised, lung_noised, dense_0, dense_1, dense_2, dense_3, count
 
 def create_csv():
     global count, fieldnames, image_id, index, csv_path
@@ -209,7 +209,7 @@ with gr.Blocks() as demo:
         with gr.Column(): # adding additional for better visualization
             im3_1 = gr.Image(lung_noised, label="Synthetic CXR")
 
-    button1.click(new__cxr, inputs = [max_dense_0, max_dense_1, max_dense_2], outputs = [im1, im2, im3, dense0, dense1, dense2, dense3, progress_log])
+    button1.click(new__cxr, inputs = [max_dense_0, max_dense_1, max_dense_2], outputs = [im1, im2, im3, im3_1, dense0, dense1, dense2, dense3, progress_log])
     button1.click(change_vis,outputs=[label1, button1])    
 
 if __name__ == "__main__":

density_veytel.csv

@@ -66,3 +66,9 @@ count,thresh_1,thresh_2,thresh_3
 count,thresh_1,thresh_2,thresh_3
 
 count,thresh_1,thresh_2,thresh_3
+1,50,100,150
+2,50,100,150
+3,50,100,150
+4,29,56,143
+
+count,thresh_1,thresh_2,thresh_3