Update app.py

app.py

@@ -152,14 +152,14 @@ if __name__ == "__main__":
         Finally, choose the model on the Dropdown within each tab and click on 'Generate'! Enjoy the App!
         """)
 
-        original_image_path = "inputs/demo/milton.png" # Select input image path here
+        #original_image_path = ""#"inputs/demo/milton.png" # Select input image path here
         # original_image_path = "outputs/txt2img/generated_input.png" # for txt2img generated input image
-        input_mask_path = "inputs/gradio_masks/jessi_mask.png" # Optional, make sure it matches the input image
-        original_image = Image.open(original_image_path)
+        #input_mask_path = "inputs/gradio_masks/jessi_mask.png" # Optional, make sure it matches the input image
+        #original_image = Image.open(original_image_path)
 
         with gr.Row():
             with gr.Column():
-                input_image = gr.Image(label="Input Image", sources='upload', type="pil", value=original_image_path, interactive=True)
+                input_image = gr.Image(label="Input Image", sources='upload', type="pil", value="", interactive=True)
             with gr.Column():
                 output_image = gr.Image(label="Generated Image", type="pil")
         
@@ -198,7 +198,7 @@ if __name__ == "__main__":
                                 Here is the mask uploaded directly from the gradio script, if you wish to change it,
                                 use the Mask Generation Preview Tab and click the 'Load Preview Mask' button.
                                 """)
-                    mask_image = gr.Image(label="Input Mask (Optional)", sources='upload', type="pil", value=input_mask_path)
+                    mask_image = gr.Image(label="Input Mask (Optional)", sources='upload', type="pil", value="")
 
                     with gr.Tab("Inpainting - Object Replacement"):
                         tab_task_selector_2 = gr.Dropdown(["Stable Diffusion with ControlNet Inpainting",