Upload folder using huggingface_hub

gradio_app.py

@@ -25,8 +25,8 @@ INTRODUCTION_TEXT = "🏆 The ISM2023w Leaderboard ranks and evaluates models \
     on the Hugging Face Spaces. \
     \nWe report the Precision, Recall, Accuracy, Weighted [F1 Score](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html)\n"
 
-#CSV_TEXT = "<p>Please make sure that you upload the CSV in the correct format. Click the link to download a sample CSV!</p> <a href=\"https://huggingface.co/spaces/debayan/ism_2023w/raw/main/example.csv\" download=\"example.csv\">Download CSV</a>"
-CSV_TEXT = "<p>Please use this link to upload your csvs and check leaderboards!</p> <a href=\"https://a37fcb50ccc3b4a060.gradio.live\" >https://a37fcb50ccc3b4a060.gradio.live</a>"
+CSV_TEXT = "<p>Please make sure that you upload the CSV in the correct format. Click the link to download a sample CSV!</p> <a href=\"https://huggingface.co/spaces/debayan/ism_2023w/raw/main/example.csv\" download=\"example.csv\">Download CSV</a>"
+#CSV_TEXT = "<p>Please use this link to upload your csvs and check leaderboards!</p> <a href=\"https://a37fcb50ccc3b4a060.gradio.live\" >https://a37fcb50ccc3b4a060.gradio.live</a>"
 
 
 
@@ -163,8 +163,8 @@ def format_leaderboard(df,sort_by="F1 Score"):
 
 
 
-#leaderboard_df_1 = format_leaderboard(fetch_leaderboard(phase=1))
-#leaderboard_df_2 = format_leaderboard(fetch_leaderboard(phase=2))
+leaderboard_df_1 = format_leaderboard(fetch_leaderboard(phase=1))
+leaderboard_df_2 = format_leaderboard(fetch_leaderboard(phase=2))
 
 
 COLS = [c.name for c in fields(AutoEvalColumn)]
@@ -219,7 +219,7 @@ with gr.Blocks() as demo:
     gr.HTML(CSV_TEXT, elem_classes="markdown-text")
 
 
-    """
+    
     with gr.Tabs(elem_classes="tab-buttons") as tabs:
         with gr.TabItem("🏅 Leaderboard Phase 1", elem_id="od-benchmark-tab-table-1", id=0):
             
@@ -266,7 +266,7 @@ with gr.Blocks() as demo:
             ],
             outputs=gr.outputs.HTML()
         )
-    """
+