Format with black

src/utils/tokens.py

@@ -1,12 +1,13 @@
-'''
+"""
 This file's purpose is to count the number of tokens used by a list of messages.
 It is used to check if the token limit of the model is reached.
 
 Reference: https://github.com/openai/openai-cookbook/blob/main/examples/How_to_format_inputs_to_ChatGPT_models.ipynb
-'''
+"""
 
 import tiktoken
 
+
 async def num_tokens_from_messages(messages, model="gpt-3.5-turbo"):
     """Returns the number of tokens used by a list of messages."""
     try:
@@ -16,13 +17,17 @@ async def num_tokens_from_messages(messages, model="gpt-3.5-turbo"):
         encoding = tiktoken.get_encoding("cl100k_base")
 
     if model.startswith("gpt-3.5-turbo"):
-        tokens_per_message = 4  # every message follows <|start|>{role/name}\n{content}<|end|>\n
+        tokens_per_message = (
+            4  # every message follows <|start|>{role/name}\n{content}<|end|>\n
+        )
         tokens_per_name = -1  # if there's a name, the role is omitted
     elif model.startswith("gpt-4"):
         tokens_per_message = 3
         tokens_per_name = 1
     else:
-        raise NotImplementedError(f"""num_tokens_from_messages() is not implemented for model {model}. See https://github.com/openai/openai-python/blob/main/chatml.md for information on how messages are converted to tokens.""")
+        raise NotImplementedError(
+            f"""num_tokens_from_messages() is not implemented for model {model}. See https://github.com/openai/openai-python/blob/main/chatml.md for information on how messages are converted to tokens."""
+        )
     num_tokens = 0
     for message in messages:
         num_tokens += tokens_per_message
@@ -31,4 +36,4 @@ async def num_tokens_from_messages(messages, model="gpt-3.5-turbo"):
             if key == "name":
                 num_tokens += tokens_per_name
     num_tokens += 3  # every reply is primed with <|start|>assistant<|message|>
-    return num_tokens
+    return num_tokens