Update hub-stats.py

hub-stats.py

@@ -28,6 +28,15 @@ load_dotenv()
 CACHE_DIR = ".hf_cache"
 os.makedirs(CACHE_DIR, exist_ok=True)
 
+api = HfApi()
+USER_ID = api.whoami()["name"]
+REPO_ID = f"{USER_ID}/hub-stats"
+
+print(f"🚀 Hugging Face Hub Stats Collector")
+print(f"📊 Dataset will be uploaded to: {REPO_ID}")
+print(f"👤 User: {USER_ID}")
+print("-" * 50)
+
 ENDPOINT_CONFIGS = {
     "models": {
         "limit": 1000,
@@ -144,7 +153,6 @@ def process_dataframe(df, endpoint):
                     None
                 )
 
-    # Handle gated column - convert to string to handle mixed types
     if "gated" in df.columns:
         df["gated"] = df["gated"].astype(str)
 
@@ -245,7 +253,7 @@ async def create_parquet_files(skip_upload=False):
             print(f"✓ {endpoint}: {len(df):,} rows -> {output_file}")
 
             if not skip_upload:
-                upload_to_hub(output_file)
+                upload_to_hub(output_file, REPO_ID)
 
     elapsed = time.time() - start_time
     return created_files, elapsed
@@ -280,10 +288,7 @@ def recreate_from_jsonl():
         print(f"✓ {endpoint}: {len(df):,} rows -> {output_file}")
 
 
-def upload_to_hub(file_path):
-    api = HfApi()
-    repo_id = "cfahlgren1/hub-stats"
-
+def upload_to_hub(file_path, repo_id):
     try:
         api.upload_file(
             path_or_fileobj=file_path,