Update app.py

app.py

@@ -5,6 +5,7 @@ from constants import LEADERBOARD_CSS, EXPLANATION, EXPLANATION_EDACC, EXPLANATI
 from init import is_model_on_hub, upload_file, load_all_info_from_dataset_hub
 from utils_display import AutoEvalColumn, fields, make_clickable_model, styled_error, styled_message
 from datetime import datetime, timezone
+from huggingface_hub import HfApi, upload_file
 
 LAST_UPDATED = "Nov 22th 2024"
 
@@ -174,11 +175,29 @@ original_df.insert(original_df.columns.get_loc('Average WER ⬇️') + 1, 'Avera
 original_df.insert(original_df.columns.get_loc('Average WER ⬇️') + 1, 'Average Female WER ⬇️', female_df['Average Female WER ⬇️'])
 original_df.insert(original_df.columns.get_loc('Average WER ⬇️') + 1, 'Average Male WER ⬇️', male_df['Average Male WER ⬇️'])
 
+# Save the updated DataFrame to a temporary CSV file
+timestamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S")  # Generate a timestamp
+temp_csv_filename = f"updated_leaderboard_{timestamp}.csv"  # Create a unique filename
+original_df.to_csv(temp_csv_filename, index=False)  # Save the DataFrame to a temporary CSV file
+
+# Upload the CSV file to Hugging Face
+hf_api = HfApi()
+repo_id = "Steveeeeeeen/whisper-leaderboard-evals"  # Replace with your Hugging Face repo ID
+TOKEN_HUB = os.environ.get("TOKEN_HUB", None)
+
+upload_file(
+    path_or_fileobj=temp_csv_filename,
+    path_in_repo=f"data/{temp_csv_filename}",  # Path in the Hugging Face repo
+    repo_id=repo_id,
+    token=TOKEN_HUB,
+    repo_type="dataset"
+)
+
+print(f"Updated leaderboard uploaded to Hugging Face: {repo_id}/data/{temp_csv_filename}")
+
 COLS = [c.name for c in fields(AutoEvalColumn)]
 TYPES = [c.type for c in fields(AutoEvalColumn)]
 
-original_df.to_csv("Edacc_w_avg", index=False)  # Save the DataFrame to CSV
-
 with gr.Blocks(css=LEADERBOARD_CSS) as demo:
     # gr.HTML(BANNER, elem_id="banner")
     # Write a header with the title