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app.py

@@ -232,13 +232,7 @@ def update_task(task, prompt):
     else:
         current_prompt = prompt
     print(f"Updating task to: {task}, prompt to: {current_prompt}")
-    image = Image.open(IMAGE_PATH)
-    prediction = predict_image_json(image, current_task, current_prompt)
-    annotated_image_path = annotate_image(image, prediction, current_task)
-    predicted_objects = predicted_objects_num(prediction, current_task)
-    latest_image_info["path"] = annotated_image_path
-    latest_image_info["objnum"] = predicted_objects
-    return annotated_image_path, predicted_objects, gr.update(visible=task != "<OD>")
+    return gr.update(visible=task != "<OD>")
 
 with gr.Blocks(css="footer {visibility: hidden}") as iface:
     gr.Markdown("## MS Computer Vision Demo")
@@ -269,7 +263,7 @@ with gr.Blocks(css="footer {visibility: hidden}") as iface:
                 value="detect all objects"
             )
             prompt_input = gr.Textbox(label="Prompt(Optional)", placeholder="what is object want to detect?", visible=False)
-            task_input.change(fn=update_task, inputs=[task_input, prompt_input], outputs=[image_output, detected_objects_output, prompt_input])
+            task_input.change(fn=update_task, inputs=[task_input, prompt_input], outputs=[prompt_input])
             commit_button = gr.Button("Commit")
             commit_button.click(fn=commit_prompt, inputs=[prompt_input], outputs=[image_output, detected_objects_output])
         with gr.Column(scale=1):