fix

selection.py

@@ -25,7 +25,7 @@ def find_most_relevant_context(contexts, question):
 os.environ["KERAS_BACKEND"] = "jax"  # Or "torch" or "tensorflow".
 # Avoid memory fragmentation on JAX backend.
 os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"]="1.00"
-os.environ["HF_TOKEN"] = os.getenv['MODEL_REPO_ID']
+os.environ["HF_TOKEN"] = os.getenv['my_repo_token']
 # Example usage:
 
 dataset = load_dataset('json', data_files='train.json',field='data')