Adds necessary spaces

Introduces spaces between code blocks.

scripts/llm_utils.py

@@ -1,5 +1,6 @@
 import openai
 from config import Config
+
 cfg = Config()
 
 openai.api_key = cfg.openai_api_key

scripts/speak.py

@@ -2,6 +2,7 @@ import os
 from playsound import playsound
 import requests
 from config import Config
+
 cfg = Config()
 
 # TODO: Nicer names for these ids
@@ -18,8 +19,7 @@ def say_text(text, voice_index=0):
         voice_id=voices[voice_index])
 
     formatted_message = {"text": text}
-    response = requests.post(
+    response = requests.post(tts_url, headers=tts_headers, json=formatted_message)
-        tts_url, headers=tts_headers, json=formatted_message)
 
     if response.status_code == 200:
         with open("speech.mpeg", "wb") as f:

scripts/spinner.py

@@ -14,6 +14,7 @@ class Spinner:
         self.running = False
         self.spinner_thread = None
 
+
     def spin(self):
         """Spin the spinner"""
         while self.running:
@@ -22,12 +23,14 @@ class Spinner:
             time.sleep(self.delay)
             sys.stdout.write('\b' * (len(self.message) + 2))
 
+
     def __enter__(self):
         """Start the spinner"""
         self.running = True
         self.spinner_thread = threading.Thread(target=self.spin)
         self.spinner_thread.start()
 
+
     def __exit__(self, exc_type, exc_value, exc_traceback):
         """Stop the spinner"""
         self.running = False

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.