2 files changed, 13 insertions, 13 deletions

diff --git a/g4f/api/__init__.py b/g4f/api/__init__.py
index d8798ef2..d2244ff5 100644
--- a/g4f/api/__init__.py
+++ b/g4f/api/__init__.py
@@ -4,7 +4,7 @@ import logging
 from fastapi            import FastAPI, Response, Request
 from fastapi.responses import StreamingResponse
 from typing             import List, Union, Any, Dict, AnyStr
-from ._tokenizer        import tokenize
+#from ._tokenizer        import tokenize
 from ..                 import BaseProvider
 
 import time
@@ -95,8 +95,8 @@ class Api:
             completion_timestamp = int(time.time())
 
             if not stream:
-                prompt_tokens, _ = tokenize(''.join([message['content'] for message in messages]))
-                completion_tokens, _ = tokenize(response)
+                #prompt_tokens, _ = tokenize(''.join([message['content'] for message in messages]))
+                #completion_tokens, _ = tokenize(response)
 
                 json_data = {
                     'id': f'chatcmpl-{completion_id}',
@@ -114,9 +114,9 @@ class Api:
                         }
                     ],
                     'usage': {
-                        'prompt_tokens': prompt_tokens,
-                        'completion_tokens': completion_tokens,
-                        'total_tokens': prompt_tokens + completion_tokens,
+                        'prompt_tokens': 0, #prompt_tokens,
+                        'completion_tokens': 0, #completion_tokens,
+                        'total_tokens': 0, #prompt_tokens + completion_tokens,
                     },
                 }
 
diff --git a/g4f/api/_tokenizer.py b/g4f/api/_tokenizer.py
index fd8f9d5a..de5877c4 100644
--- a/g4f/api/_tokenizer.py
+++ b/g4f/api/_tokenizer.py
@@ -1,9 +1,9 @@
-import tiktoken
-from typing import Union
+# import tiktoken
+# from typing import Union
 
-def tokenize(text: str, model: str = 'gpt-3.5-turbo') -> Union[int, str]:
-    encoding   = tiktoken.encoding_for_model(model)
-    encoded    = encoding.encode(text)
-    num_tokens = len(encoded)
+# def tokenize(text: str, model: str = 'gpt-3.5-turbo') -> Union[int, str]:
+#     encoding   = tiktoken.encoding_for_model(model)
+#     encoded    = encoding.encode(text)
+#     num_tokens = len(encoded)
     
-    return num_tokens, encoded
\ No newline at end of file
+#     return num_tokens, encoded
\ No newline at end of file