Add UCL logo

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -8,3 +8,4 @@ ukb/
 *.png
 models--mathpluscode--CineMA/
 datasets--mathpluscode--ACDC/
+!ucl.png

app.py

@@ -830,17 +830,30 @@ def landmark_tab():
 with gr.Blocks(
     theme=theme, title="CineMA: A Foundation Model for Cine Cardiac MRI"
 ) as demo:
-    gr.Markdown(
-        """
-        # CineMA: A Foundation Model for Cine Cardiac MRI 🎥🫀
-
-        🚀 The following demonstrations showcase the capabilities of CineMA in multiple tasks. Click the button to launch the inference.<br>
-        ⏱️ The examples may take 10-60 seconds, if not cached, to download data and model, perform inference, and render plots.<br>
-        💾 This research has been conducted using the UK Biobank Resource under Application Number 71702.<br>
-        ❤️ The authors acknowledge the use of resources provided by the Isambard-AI National AI Research Resource (AIRR).<br>
-        🔗 For more details, check out our [manuscript](https://arxiv.org/abs/2506.00679) and [GitHub repository](https://github.com/mathpluscode/CineMA).
-        """
-    )
+    with gr.Row():
+        with gr.Column(scale=4):
+            gr.Markdown(
+                """
+                # CineMA: A Foundation Model for Cine Cardiac MRI 🎥🫀
+
+                🚀 The following demonstrations showcase the capabilities of CineMA in multiple tasks. Click the button to launch the inference.<br>
+                ⏱️ The examples may take 10-60 seconds, if not cached, to download data and model, perform inference, and render plots.<br>
+                💾 This research has been conducted using the UK Biobank Resource under Application Number 71702.<br>
+                ❤️ The authors acknowledge the use of resources provided by the Isambard-AI National AI Research Resource (AIRR).<br>
+                🔗 For more details, check out our [manuscript](https://arxiv.org/abs/2506.00679) and [GitHub repository](https://github.com/mathpluscode/CineMA).
+                """
+            )
+        with gr.Column(scale=1):
+            gr.Image(
+                value="ucl.png",
+                height=120,
+                show_label=False,
+                show_download_button=False,
+                show_fullscreen_button=False,
+                show_share_button=False,
+                container=False,
+                interactive=False,
+            )
 
     with gr.Tabs(selected="sax_seg") as tabs:
         with gr.TabItem("🖼️ Cine CMR Views", id="cmr"):
@@ -853,4 +866,4 @@ with gr.Blocks(
             segmentation_lax_tab()
         with gr.TabItem("📍 Landmark Localisation in LAX 2C/4C View", id="landmark"):
             landmark_tab()
-demo.launch(allowed_paths=[cache_dir])
+demo.launch(allowed_paths=[cache_dir, "ucl.png"])