Update app.py

app.py

@@ -10,7 +10,7 @@ def main():
     st.sidebar.write("1. Select a model from the dropdown.")
     st.sidebar.write("2. Review the label preview.")
     st.sidebar.write("3. Download the label as a PNG.")
-    st.sidebar.markdown("[Learn more about AI Energy Scores](https://example.com)")
+    st.sidebar.markdown("[AI Energy Score Leaderboard](https://huggingface.co/spaces/AIEnergyScore/Leaderboard)")
 
     # Read Data from CSV
     try:
@@ -34,22 +34,22 @@ def main():
     model_data = data_df[data_df["model"] == selected_model].iloc[0]
 
     # Dynamically select the background image based on the score
-try:
-    score = int(model_data["score"])  # Convert to int
-    background_path = f"{score}.png"  # E.g., "1.png", "2.png"
-    background = Image.open(background_path).convert("RGBA")
-
-    # Proportional scaling to fit within the target size
-    target_size = (800, 600)  # Maximum width and height
-    background.thumbnail(target_size, Image.ANTIALIAS)
-
-except FileNotFoundError:
-    st.sidebar.error(f"Could not find background image '{score}.png'. Using default background.")
-    background = Image.open("default_background.png").convert("RGBA")
-    background.thumbnail(target_size, Image.ANTIALIAS)  # Resize default image proportionally
-except ValueError:
-    st.sidebar.error(f"Invalid score '{model_data['score']}'. Score must be an integer.")
-    return
+    try:
+        score = int(model_data["score"])  # Convert to int
+        background_path = f"{score}.png"  # E.g., "1.png", "2.png"
+        background = Image.open(background_path).convert("RGBA")
+
+        # Proportional scaling to fit within the target size
+        target_size = (800, 600)  # Maximum width and height
+        background.thumbnail(target_size, Image.ANTIALIAS)
+
+    except FileNotFoundError:
+        st.sidebar.error(f"Could not find background image '{score}.png'. Using default background.")
+        background = Image.open("default_background.png").convert("RGBA")
+        background.thumbnail(target_size, Image.ANTIALIAS)  # Resize default image proportionally
+    except ValueError:
+        st.sidebar.error(f"Invalid score '{model_data['score']}'. Score must be an integer.")
+        return
 
     # Generate the label with text
     generated_label = create_label(background, model_data)