removed the examples block

app.py

@@ -94,16 +94,16 @@ with gr.Blocks(fill_height=True) as demo:
         output = gr.Textbox(label="Output")
 
     with gr.Accordion(label="Example Inputs and Advanced Generation Parameters"):
-        examples=[
-                    ["example_images/mmmu_example.jpeg", "Chase wants to buy 4 kilograms of oval beads and 5 kilograms of star-shaped beads. How much will he spend?", "Let's think step by step.", "Greedy", 0.4, 512, 1.2, 0.8],
-                    ["example_images/rococo_1.jpg", "What art era is this?", None, "Greedy", 0.4, 512, 1.2, 0.8],
-                    ["example_images/paper_with_text.png", "Read what's written on the paper", None, "Greedy", 0.4, 512, 1.2, 0.8],
-                    ["example_images/dragons_playing.png","What's unusual about this image?",None,  "Greedy", 0.4, 512, 1.2, 0.8],
-                    ["example_images/example_images_ai2d_example_2.jpeg", "What happens to fish if pelicans increase?", None, "Greedy", 0.4, 512, 1.2, 0.8],
-                    ["example_images/travel_tips.jpg", "I want to go somewhere similar to the one in the photo. Give me destinations and travel tips.", None, "Greedy", 0.4, 512, 1.2, 0.8],
-                    ["example_images/dummy_pdf.png", "How much percent is the order status?", None, "Greedy", 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?.",None,  "Greedy", 0.4, 512, 1.2, 0.8],
-                    ["example_images/s2w_example.png",  "What is this UI about?", None,"Greedy", 0.4, 512, 1.2, 0.8]]
+        # examples=[
+        #             ["example_images/mmmu_example.jpeg", "Chase wants to buy 4 kilograms of oval beads and 5 kilograms of star-shaped beads. How much will he spend?", "Let's think step by step.", "Greedy", 0.4, 512, 1.2, 0.8],
+        #             ["example_images/rococo_1.jpg", "What art era is this?", None, "Greedy", 0.4, 512, 1.2, 0.8],
+        #             ["example_images/paper_with_text.png", "Read what's written on the paper", None, "Greedy", 0.4, 512, 1.2, 0.8],
+        #             ["example_images/dragons_playing.png","What's unusual about this image?",None,  "Greedy", 0.4, 512, 1.2, 0.8],
+        #             ["example_images/example_images_ai2d_example_2.jpeg", "What happens to fish if pelicans increase?", None, "Greedy", 0.4, 512, 1.2, 0.8],
+        #             ["example_images/travel_tips.jpg", "I want to go somewhere similar to the one in the photo. Give me destinations and travel tips.", None, "Greedy", 0.4, 512, 1.2, 0.8],
+        #             ["example_images/dummy_pdf.png", "How much percent is the order status?", None, "Greedy", 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?.",None,  "Greedy", 0.4, 512, 1.2, 0.8],
+        #             ["example_images/s2w_example.png",  "What is this UI about?", None,"Greedy", 0.4, 512, 1.2, 0.8]]
 
         # Hyper-parameters for generation
         max_new_tokens = gr.Slider(
@@ -175,13 +175,13 @@ with gr.Blocks(fill_height=True) as demo:
               inputs=decoding_strategy,
               outputs=top_p,
           )
-        gr.Examples(
-                        examples = examples,
-                        inputs=[image_input, query_input, assistant_prefix, decoding_strategy, temperature,
-                                                              max_new_tokens, repetition_penalty, top_p],
-                        outputs=output,
-                        fn=model_inference
-                    )
+        # gr.Examples(
+        #                 examples = examples,
+        #                 inputs=[image_input, query_input, assistant_prefix, decoding_strategy, temperature,
+        #                                                       max_new_tokens, repetition_penalty, top_p],
+        #                 outputs=output,
+        #                 fn=model_inference
+        #             )
 
         submit_btn.click(model_inference, inputs = [image_input, query_input, assistant_prefix, decoding_strategy, temperature,
                                                       max_new_tokens, repetition_penalty, top_p], outputs=output)