update progress bar

app.py

@@ -6,7 +6,7 @@ import gradio as gr
 # It will save the inversion as output/test_cat/inversion/image-name.pt 
 # BLIP-generated caption prompt is saved as output/test_cat/prompt/image-name.txt - eg., a painting of a cat sitting on top of a ball
 def inversion(image_in):  #, progress=gr.Progress(track_tqdm=True)):
-  progress(0, desc="Starting...")
+  #progress(0, desc="Starting...")
   # saving the input image
   image_in.save("assets/test_images/cats/input_image.png")
   # Run the script file
@@ -21,7 +21,7 @@ def inversion(image_in):  #, progress=gr.Progress(track_tqdm=True)):
 # Performing image editing with the editing directions 
 # This will save the edited image as output/test_cat/edit/image-name.png
 def image_edit(task_name): #, progress=gr.Progress(track_tqdm=True)):
-  progress(0, desc="Starting...")
+  #progress(0, desc="Starting...")
   # Run the script file
   subprocess.run(["python", "src/edit_real.py", "--inversion", "output/test_cat/inversion/input_image.pt", 
                   "--prompt", "output/test_cat/prompt/input_image.txt", "--task_name", task_name,
@@ -31,7 +31,7 @@ def image_edit(task_name): #, progress=gr.Progress(track_tqdm=True)):
 
 #Similarly, we can edit the synthetic images generated by Stable Diffusion with the following command.
 def synthetic_image_edit(prompt, task_name): #, progress=gr.Progress(track_tqdm=True)):
-  progress(0, desc="Starting...")
+  #progress(0, desc="Starting...")
   # Run the script file
   subprocess.run(["python", "src/edit_synthetic.py", "--prompt_str", prompt, 
                   "--task", task_name, "--results_folder", "output/synth_editing"])