Update app.py

app.py

@@ -578,7 +578,8 @@ def canny_process_image(input_image, input_low_threshold, input_high_threshold,
    return np.array(canny_2)
 
 # Define the input and output interfaces
-canny_input_image = gr.inputs.Image()
+# canny_input_image = gr.inputs.Image()
+canny_input_image = gr.Image()
 canny_input_low_threshold = gr.inputs.Slider(minimum=0, maximum=1000, step=1, label="Lower Threshold:", default=100)
 canny_input_high_threshold = gr.inputs.Slider(minimum=0, maximum=1000, step=1, label="Upper Threshold:", default=200)
 canny_input_invert = gr.inputs.Checkbox(label="Invert Image")
@@ -716,7 +717,8 @@ with gr.Blocks() as canny_blocks_interface:
       canny_input_invert = gr.inputs.Checkbox(label="invert edge tracing image")
       canny_input_rotate = gr.Dropdown([0, 90, 180, 270], label="rotate image (for smartphones)")
     with gr.Column():
-      canny_input_image = gr.inputs.Image(label="input image")
+      # canny_input_image = gr.inputs.Image(label="input image")
+      canny_input_image = gr.Image(label="input image")
       go_button = gr.Button('generate image')
   # with gr.Row():
       with gr.Accordion(label='traced edge image', open=False):
@@ -931,7 +933,8 @@ with gr.Blocks() as depth_controlnet_gradio:
           ## Inputs...
         ''')
         input_prompt = gr.inputs.Textbox(label="text prompt")
-        input_image = gr.inputs.Image(label="input image")
+        # input_image = gr.inputs.Image(label="input image")
+        input_image = gr.Image(label="input image")
         with gr.Accordion(label="options", open=False):
           with gr.Row():
             with gr.Column():