Update app.py

app.py

@@ -87,21 +87,22 @@ with gr.Blocks(fill_height=True) as demo:
         query_input = gr.Textbox(label="Prompt")
         submit_btn = gr.Button("Submit")
         output = gr.Textbox(label="Output")
-        examples=[["./example_images/docvqa_example.png", "How many items are sold?", "Greedy", 0.4, 512, 1.2, 0.8],
+        
+    with gr.Accordion(label="Example Inputs and Advanced Generation Parameters"):
+      examples=[["./example_images/docvqa_example.png", "How many items are sold?", "Greedy", 0.4, 512, 1.2, 0.8],
                     ["./example_images/s2w_example.png", "What is this UI about?", "Greedy", 0.4, 512, 1.2, 0.8],
                     ["./example_images/example_images_travel_tips.jpg", "I want to go somewhere similar to the one in the photo. Give me destinations and travel tips.",  0.4, 512, 1.2, 0.8],
                     ["./example_images/chicken_on_money.png", "Can you tell me a very short story based on this image?", 0.4, 512, 1.2, 0.8],
                     ["./example_images/baklava.png", "Where is this pastry from?", 0.4, 512, 1.2, 0.8],
                     ["./example_images/dummy_pdf.png", "How much percent is the order status?", 0.4, 512, 1.2, 0.8],
                     ["./example_images/art_critic.png", "As an art critic AI assistant, could you describe this painting in details and make a thorough critic?.", 0.4, 512, 1.2, 0.8]]
-        gr.Examples(
+      gr.Examples(
                     examples = examples,
                     inputs=[image_input, query_input, decoding_strategy, temperature, 
                                                           max_new_tokens, repetition_penalty, top_p],
                     outputs=output,
                     fn=model_inference
                 )
-    with gr.Accordion():
       # Hyper-parameters for generation
       max_new_tokens = gr.Slider(
           minimum=8,