gradio

gradio_app.py

@@ -9,16 +9,15 @@ import spaces
 # -----------------------------
 # Setup paths and env
 # -----------------------------
-# HF_HOME = "/home/user/app/hf_cache"
-# os.environ["HF_HOME"] = HF_HOME
-# os.environ["TRANSFORMERS_CACHE"] = HF_HOME
-# os.makedirs(HF_HOME, exist_ok=True)
+HF_HOME = "/home/user/app/hf_cache"
+os.environ["HF_HOME"] = HF_HOME
+os.environ["TRANSFORMERS_CACHE"] = HF_HOME
+os.makedirs(HF_HOME, exist_ok=True)
 
 PRETRAINED_DIR = "/home/user/app/pretrained"
 os.makedirs(PRETRAINED_DIR, exist_ok=True)
 
 # -----------------------------
-
 # Step 1: Optional Model Download
 # -----------------------------
 def download_models():