Update app.py

app.py

@@ -101,7 +101,7 @@ def inference(image, question, max_new_tokens=1024, temperature=0.7):
         return f"An error occurred: {str(e)}"
 
 # Create Gradio interface
-with gr.Blocks(title="Robust-R1: Visual Understanding Demo", theme=gr.themes.Soft()) as demo:
+with gr.Blocks(title="Robust-R1", theme=gr.themes.Soft()) as demo:
     gr.Markdown(
         """
         ## Citation
@@ -154,7 +154,7 @@ with gr.Blocks(title="Robust-R1: Visual Understanding Demo", theme=gr.themes.Sof
     # Examples
     gr.Examples(
         examples=[
-            ["Describe this image", "What does this image show?"],
+            ["What is the name of the Garage?\n0. polo\n1. imam\n2. leke\n3. akd\nFirst output the the types of degradations in image briefly in <TYPE> <TYPE_END> tags, and thenoutput what effects do these degradation have on the image in <INFLUENCE> <INFLUENCE_END> tags, then based on the strength of degradation, output an APPROPRIATE length for the reasoning process in <REASONING> <REASONING_END>tags, and then sunmmarize the content of reasoning and the give the answer in <CONCLUSION> <CONCLUSION_END>tags,provides the user with the answer briefly in<ANSWER> <ANSWER_END>.i.e., <TYPE> degradation type here <TYPE_END>\n<INFLUENCE> influence here<INFLUENCE_END>\n<REASONING> reasoning process here<REASONING_END>\n<CONCLUSION>summary here<CONCLUSION_END>\n<ANSWER>final answer<ANSWER_END>."],
         ],
         inputs=[question_input],
         label="Example Questions"