Update optimum_encoder.py

optimum_encoder.py

@@ -2,6 +2,7 @@ import requests
 import time
 import os
 import numpy as np
+from tqdm import tqdm
 from typing import Any, List, Optional, Dict
 from pydantic.v1 import PrivateAttr
 from fastembed.common.utils import normalize
@@ -111,7 +112,7 @@ class OptimumEncoder(BaseEncoder):
         convert_to_numpy: bool = False
     ) -> List[List[float]] | List[np.ndarray]:
         all_embeddings = []
-        for i in range(0, len(docs), batch_size):
+        for i in tqdm(range(0, len(docs), batch_size)):
             batch_docs = docs[i : i + batch_size]
 
             encoded_input = self._tokenizer(