Adds necessary spaces

Introduces spaces between code blocks.

scripts/token_counter.py

@@ -1,6 +1,7 @@
 import tiktoken
 from typing import List, Dict
 
+
 def count_message_tokens(messages : List[Dict[str, str]], model : str = "gpt-3.5-turbo-0301") -> int:
     """
     Returns the number of tokens used by a list of messages.
@@ -17,6 +18,7 @@ def count_message_tokens(messages : List[Dict[str, str]], model : str = "gpt-3.5
     except KeyError:
         print("Warning: model not found. Using cl100k_base encoding.")
         encoding = tiktoken.get_encoding("cl100k_base")
+
     if model == "gpt-3.5-turbo":
         # !Node: gpt-3.5-turbo may change over time. Returning num tokens assuming gpt-3.5-turbo-0301.")
         return count_message_tokens(messages, model="gpt-3.5-turbo-0301")
@@ -32,15 +34,19 @@ def count_message_tokens(messages : List[Dict[str, str]], model : str = "gpt-3.5
     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.""")
     num_tokens = 0
+
     for message in messages:
         num_tokens += tokens_per_message
+
         for key, value in message.items():
             num_tokens += len(encoding.encode(value))
+
             if key == "name":
                 num_tokens += tokens_per_name
     num_tokens += 3  # every reply is primed with <|start|>assistant<|message|>
     return num_tokens
 
+
 def count_string_tokens(string: str, model_name: str) -> int:
     """
     Returns the number of tokens in a text string.