title

app.py

@@ -83,29 +83,32 @@ def model_inference(
 
 with gr.Blocks() as demo:
 
-    # gr.Markdown('<h1 style="text-align:center; margin: 0.2em 0;">Demo.</h1>')
+    gr.Markdown('<h1 style="text-align:center; margin: 0.2em 0; color: green;">NV-Reason-CXR-3B Demo. Check out the model card details <a href="https://huggingface.co/nvidia/NV-Reason-CXR-3B" target="_blank">here</a>.</h1>')
     send_btn = gr.Button("Send", variant="primary", render=False)
     textbox = gr.Textbox(show_label=False, placeholder="Enter your text here and press ENTER", render=False, submit_btn="Send")
 
     with gr.Row():
         with gr.Column(scale=1):
             image_input = gr.Image(type="pil", visible=True, sources="upload", show_label=False)
-
             clear_btn = gr.Button("Clear", variant="secondary")
 
-            ex =gr.Examples(
-                examples=[
-                    ["example_images/35.jpg", "Examine the chest X-ray."],
-                    ["example_images/363.jpg", "Provide a comprehensive image analysis, and list all abnormalities."],
-                    ["example_images/4747.jpg", "Find abnormalities and support devices."],
-                    ["example_images/87.jpg", "Find abnormalities and support devices."],
-                    ["example_images/6218.jpg", "Find abnormalities and support devices."],
-                    ["example_images/6447.jpg", "Find abnormalities and support devices."],
+            with gr.Accordion("Examples", open=True): 
 
+                ex =gr.Examples(
+                    examples=[
+                        ["example_images/35.jpg", "Examine the chest X-ray."],
+                        ["example_images/363.jpg", "Provide a comprehensive image analysis, and list all abnormalities."],
+                        ["example_images/4747.jpg", "Find abnormalities and support devices."],
+                        ["example_images/87.jpg", "Find abnormalities and support devices."],
+                        ["example_images/6218.jpg", "Find abnormalities and support devices."],
+                        ["example_images/6447.jpg", "Find abnormalities and support devices."],
 
-                ],
-                inputs=[image_input, textbox],
-            )
+
+                    ],
+                    inputs=[image_input, textbox],
+                    label=None,
+                )
+                ex.dataset.show_label = False
 
         with gr.Column(scale=2):
             chat_interface = gr.ChatInterface(fn=model_inference,