Update app.py

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 import pandas as pd
 import os
 import zipfile
+import base64
 
 CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
 CITATION_BUTTON_TEXT = r"""@misc{aienergyscore-leaderboard,
@@ -105,6 +106,15 @@ def zip_csv_files():
                 zipf.write(filepath, arcname=filename)
     return zip_filename
 
+def get_zip_data_link():
+    """Creates a data URI download link for the ZIP file."""
+    zip_filename = zip_csv_files()
+    with open(zip_filename, "rb") as f:
+        data = f.read()
+    b64 = base64.b64encode(data).decode()
+    href = f'<a href="data:application/zip;base64,{b64}" download="data.zip" style="margin: 0 15px; text-decoration: none; font-weight: bold; font-size: 1.1em;">Download Data</a>'
+    return href
+
 # --- Modified functions to include a sort_order parameter ---
 def get_model_names_html(task, sort_order="High to Low"):
     df = pd.read_csv('data/energy/' + task)
@@ -213,17 +223,11 @@ with demo:
 ### Welcome to the leaderboard for the [AI Energy Score Project!](https://huggingface.co/AIEnergyScore) — Select different tasks to see scored models."""
     )
     
-    # Header links (using a row of components, including a Download Data button)
+    # Header links (using a row of components, including a Download Data link)
     with gr.Row():
         submission_link = gr.HTML('<a href="https://huggingface.co/spaces/AIEnergyScore/submission_portal" style="margin: 0 15px; text-decoration: none; font-weight: bold; font-size: 1.1em;">Submission Portal</a>')
         label_link = gr.HTML('<a href="https://huggingface.co/spaces/AIEnergyScore/Label" style="margin: 0 15px; text-decoration: none; font-weight: bold; font-size: 1.1em;">Label Generator</a>')
-        download_button = gr.FileDownload(
-            value=zip_csv_files(), 
-            file_name="data.zip", 
-            label="Download Data",
-            variant="link",
-            style={"margin": "0 15px", "font-weight": "bold", "font-size": "1.1em"}
-        )
+        download_link = gr.HTML(get_zip_data_link())
         faq_link = gr.HTML('<a href="https://huggingface.github.io/AIEnergyScore/#faq" style="margin: 0 15px; text-decoration: none; font-weight: bold; font-size: 1.1em;">FAQ</a>')
         documentation_link = gr.HTML('<a href="https://huggingface.github.io/AIEnergyScore/#documentation" style="margin: 0 15px; text-decoration: none; font-weight: bold; font-size: 1.1em;">Documentation</a>')
         community_link = gr.HTML('<a href="https://huggingface.co/spaces/AIEnergyScore/README/discussions" style="margin: 0 15px; text-decoration: none; font-weight: bold; font-size: 1.1em;">Community</a>')