Update app.py

app.py

@@ -18,16 +18,18 @@ with gr.Blocks() as demo:
 
     input_list = [prompt_input, negative_prompt_input, image_input]
     with gr.Tab("ControlNet on Canny Filter "):
-        prompt_input = gr.Textbox(label="Prompt")
-        negative_prompt_input = gr.Textbox(label="Negative Prompt")
-        image_input = gr.Image(label="Image")
+        prompt_input_canny = gr.Textbox(label="Prompt")
+        negative_prompt_canny = gr.Textbox(label="Negative Prompt")
+        canny_input = gr.Image(label="Image")
         submit_btn = gr.Button("Submit")
-        submit_btn.click(fn=write_to_dataset, inputs=input_list, outputs="image")
+        canny_inputs = [prompt_input_canny, negative_prompt_canny, canny_input]
+        submit_btn.click(fn=write_to_dataset, inputs=canny_inputs, outputs="image")
     with gr.Tab("ControlNet with Semantic Segmentation"):
-        prompt_input = gr.Textbox(label="Prompt")
-        negative_prompt_input = gr.Textbox(label="Negative Prompt")
-        image_input = gr.Image(label="Image")
+        prompt_input_seg = gr.Textbox(label="Prompt")
+        negative_prompt_seg = gr.Textbox(label="Negative Prompt")
+        seg_input = gr.Image(label="Image")
         submit_btn = gr.Button("Submit")
-        submit_btn.click(fn=write_to_dataset, inputs=input_list, outputs="image")
+        seg_inputs = [prompt_input_seg, negative_prompt_seg, seg_input]
+        submit_btn.click(fn=write_to_dataset, inputs=seg_inputs, outputs="image")
 
 demo.launch()