Update

app.py

@@ -10,10 +10,6 @@ from pycocotools.cocoeval import COCOeval
 # Log in programmatically using token from secrets.
 login(token=os.getenv("HF_TOKEN"))
 
-import base64
-with open("desc3.png", "rb") as f:
-    image_data = f.read()
-encoded_image = base64.b64encode(image_data).decode("utf-8")
 
 
 # ---------- CSV to COCO Conversion Functions ----------
@@ -254,7 +250,7 @@ def evaluate_and_refresh(file, submission_name, model_description, link_paper, l
 with gr.Blocks() as demo:
     gr.Markdown("# Benchmark Leaderboard: Object Detection mAP@50 & Weight MAE Evaluation")
     #gr.Image(value="desc3.png", label=None, interactive=False)
-    gr.HTML(f'<img src="data:image/png;base64,{encoded_image}" alt="Description" style="max-width:100%;height:auto;">')
+    gr.HTML('<img src="static/desc3.png" alt="Description" style="max-width:100%;height:auto;">')
     gr.Markdown(
         "This leaderboard evaluates CSV submissions using **mAP@50** (via COCO evaluation) for bounding boxes "
         "and **Mean Absolute Error (MAE)** for food weight predictions. \n\n"