Upload folder using huggingface_hub

app.py

@@ -9,7 +9,6 @@ import logging
 from tokenizers import Tokenizer
 from huggingface_hub import hf_hub_download
 import gc
-import math # Potentially needed by imported classes
 
 # --- Configuration ---
 MODEL_REPO_ID = (
@@ -440,10 +439,6 @@ def predict_iupac(smiles_string):
 
     except RuntimeError as e:
         logging.error(f"Runtime error during translation: {e}", exc_info=True)
-        error_msg = f"Runtime Error during translation: {e}"
-        if "memory" in str(e).lower():
-            gc.collect(); torch.cuda.empty_cache() if device.type == "cuda" else None
-            error_msg += " (Potential OOM)"
         return f"Error: {error_msg}" # Return single error string
 
     except Exception as e: