💄 style(app): standardize image processing and UI elements

- specify the general outputs as forensics images instead of ELA images to describe the results more accurately
- rename markdow section to include an accordin section for model notes following similar standards in the rest of the application

app.py

@@ -238,15 +238,16 @@ def predict_image_with_html(img, confidence_threshold, augment_methods, rotate_d
 
     # Generate ELA images with different presets
     ela_img_1 = ELA(img_pil, scale=100, alpha=0.66)
-    ela_img_2 = ELA(img_pil, scale=75, alpha=0.8)
-    ela_img_3 = ELA(img_pil, scale=50, alpha=0.5)
+    ela_img_2 = ELA(img_pil, scale=50, alpha=0.5)
     
-    ela_images = [ela_img_1, ela_img_2, ela_img_3, gradient_image, minmax_image]
+    forensics_images = [ela_img_1, ela_img_2, gradient_image, minmax_image]
     
     html_content = generate_results_html(results)
-    return img_pil, ela_images, html_content
+    return img_pil, forensics_images, html_content
 
 with gr.Blocks() as iface:
+    with gr.Accordion("Project OpenSight - Model Evaluations & Playground", open=False, elem_id="project_accordion"):
+        gr.Markdown("## OpenSight is a SOTA gen. image detection model, in pre-release prep.\n\nThis HF Space is a temporary home for us and the public to evaluate the shortcomings of current open source models.\n\n<-- Feel free to play around by starting with an image as we prepare our formal announcement.")
     with gr.Tab("AI Image Detection"):
         gr.Markdown("# AI Generated Image / Deepfake Detection Models Evaluation")
         
@@ -262,15 +263,13 @@ with gr.Blocks() as iface:
                 inputs = [image_input, confidence_slider, augment_checkboxgroup, rotate_slider, noise_slider, sharpen_slider]
                 predict_button = gr.Button("Predict")
                 image_output = gr.Image(label="Processed Image", visible=True)
-                ela_gallery = gr.Gallery(label="ELA Processed Images", visible=True)
+                forensics_gallery = gr.Gallery(label="Post Processed Images", visible=True)
 
 
             with gr.Column(scale=2):
-                with gr.Accordion("Project OpenSight - Model Evaluations & Playground", open=False, elem_id="project_accordion"):
-                    gr.Markdown("## OpenSight is a SOTA gen. image detection model, in pre-release prep.\n\nThis HF Space is a temporary home for us and the public to evaluate the shortcomings of current open source models.\n\n<-- Feel free to play around by starting with an image as we prepare our formal announcement.")
                 # Custom HTML component to display results in 5 columns
                 results_html = gr.HTML(label="Model Predictions")
-                outputs = [image_output, ela_gallery, results_html]
+                outputs = [image_output, forensics_gallery, results_html]
         
         # Show/hide rotate slider based on selected augmentation method
         augment_checkboxgroup.change(lambda methods: gr.update(visible="rotate" in methods), inputs=[augment_checkboxgroup], outputs=[rotate_slider])