reaeme

app.py

@@ -292,6 +292,9 @@ def run_inference(model_names, dataset_input, num_images_input, prompts, device_
 
     return pd.DataFrame(data).to_html(escape=False)
 
+def show_image(image):
+    return image  # Simply display the selected image
+
 # Gradio UI setup
 def create_gradio_interface():
     css = """
@@ -312,6 +315,18 @@ def create_gradio_interface():
         # image_path = os.path.abspath("static/image.jpg")
         # gr.Image(value=image_path, label="HF Image", width=300, height=300)
         
+        init_image = gr.Image(label="Selected Image", type="filepath")
+
+        # Use gr.Examples to showcase a set of example images
+        gr.Examples(
+            examples=[
+                ["static/image.jpg"],                
+            ],
+            inputs=[init_image],
+            label="Example Images"
+        )
+        init_image.change(show_image, inputs=init_image, outputs=init_image)
+
         with gr.Tab("VLM model and Dataset selection"):
             gr.Markdown("### Dataset Selection: HF or from a ZIP file.")
             with gr.Accordion("Advanced Settings", open=True):