reset lb

app.py

@@ -24,22 +24,22 @@ matplotlib.use("Agg")
 
 # The variable "username" actually refers to "model name"
 
-def fetch_required_files(exp_config):
-    # os.makedirs("temp_data", exist_ok=True)
-    for key in exp_config:
-        file_path = exp_config[key]['file']
-        url = f"https://saraht14-server.hf.space/file/{file_path}.txt"
+# def fetch_required_files(exp_config):
+#     # os.makedirs("temp_data", exist_ok=True)
+#     for key in exp_config:
+#         file_path = exp_config[key]['file']
+#         url = f"https://saraht14-server.hf.space/file/{file_path}.txt"
 
-        filename_only = os.path.basename(file_path) + ".txt"
-        local_path = os.path.join("./", filename_only)
+#         filename_only = os.path.basename(file_path) + ".txt"
+#         local_path = os.path.join("./", filename_only)
 
-        downloaded = download_file(url, local_path)
-        if not downloaded:
-            raise Exception(f"Could not download file: {file_path}")
+#         downloaded = download_file(url, local_path)
+#         if not downloaded:
+#             raise Exception(f"Could not download file: {file_path}")
 
-        exp_config[key]["local_file"] = local_path
+#         exp_config[key]["local_file"] = local_path
 
-    return exp_config
+#     return exp_config
 
 
 def download_file(url, local_path):
@@ -68,23 +68,23 @@ def download_file(url, local_path):
 #     updated_requests.push_to_hub("IndoorOutdoor/requests", token=HF_TOKEN)
 #     print("Logged submission request to the requests dataset.")
 # def update_results_dataset(leaderboard_df):
-repo_id = "saraht14/responses"
+# repo_id = "saraht14/responses"
 def update_results_dataset(new_row_df):
-    repo_id = "saraht14/responses"
+    # repo_id = "saraht14/responses"
     
     try:
-        leaderboard_dataset = load_dataset(repo_id, split="train", token=HF_TOKEN)
+        leaderboard_dataset = load_dataset(RESULTS_REPO, split="train", token=HF_TOKEN)
         leaderboard_df = leaderboard_dataset.to_pandas()
         updated_df = pd.concat([leaderboard_df, new_row_df], ignore_index=True)
         updated_dataset = Dataset.from_pandas(updated_df)
-        updated_dataset.push_to_hub(repo_id, token=HF_TOKEN)
+        updated_dataset.push_to_hub(RESULTS_REPO, token=HF_TOKEN)
         print("New row(s) added to existing leaderboard dataset.")
         return updated_dataset
     except Exception as e:
         print("Dataset not found or failed to load, creating a new one.")
         try:
             new_dataset = Dataset.from_pandas(new_row_df)
-            new_dataset.push_to_hub(repo_id, token=HF_TOKEN)
+            new_dataset.push_to_hub(RESULTS_REPO, token=HF_TOKEN)
             return new_dataset
             print("New leaderboard dataset created and uploaded.")
         except Exception as inner_e:
@@ -159,7 +159,7 @@ df = pd.read_csv(metadata_path)
 print(df.head())
 def fetch_lb():
     try:
-        leaderboard_dataset = load_dataset("saraht14/responses", split="train", token=HF_TOKEN)
+        leaderboard_dataset = load_dataset(RESULTS_REPO, split="train", token=HF_TOKEN)
         leaderboard_data = leaderboard_dataset.to_pandas()
         leaderboard_data = leaderboard_data[HEADERS]  # keep it ordered
         leaderboard_data = leaderboard_data.sort_values(by=["Accuracy", "Execution Time (s)"], ascending=[False, True])