Gpt fixes

FIx

Fix

Fix

Fix. Another.

!

Fix

Tiktoken

Fix

Fix

bot.py

@@ -36,13 +36,14 @@ import pdf2image
 import PyPDF2
 import requests
 import spotipy
+import tiktoken
 from discord.ext import commands
 from spotipy.oauth2 import SpotifyClientCredentials
 
-import yt_dlp
-from spotify_dl import spotify
 from spotify_dl import youtube as youtube_download
 
+from spotify_dl import spotify
+
 Music_Config = TypedDict(
     "Music_Config",
     {
@@ -94,7 +95,7 @@ if platform in ("linux", "linux2"):
     else:
         LOGFILE = "/home/pi/Conjurer/discord.log"
         MEMORY_FIVE_SIARA = "/home/pi/Conjurer/pamiec.json"
-        SYSTEM_GPT_SETTINGS = "/home/pi/Conjurer/conjurer/system_gpt_settings.json"
+        SYSTEM_GPT_SETTINGS = "/home/pi/Conjurer/system_gpt_settings.json"
         MEMORY_FIVE_MUZYKA = "/home/pi/Conjurer/pamiec_muzyki.json"
         MUSIC_FOLDER = "/home/pi/RetroPie/mp3/"
         SETTINGS_FILE = "/home/pi/Conjurer/settings.json"
@@ -334,6 +335,18 @@ async def on_message(message):
 
 # *=========================================== Define Functions
 
+def num_tokens_from_string(string, model):
+    """
+    The function `num_tokens_from_string` returns the number of tokens in a given string.
+
+    :param string: The `string` parameter is a string of text that you want to count the number of
+    tokens for
+    :return: the number of tokens in the given string.
+    """
+    chat_gpt_encoding = tiktoken.encoding_for_model(model)
+    num_tokens = len(chat_gpt_encoding.encode(string))
+    return num_tokens
+
 
 async def connect(ctx, arg=None):
     """
@@ -579,19 +592,25 @@ async def handle_response(prompt, vykidailo, bartender, history, username, music
             # convert back to json.
             json.dump(file_data, file_memory, indent=4)
     history = []
+    tokens = 0
     history.append(GPT_SETTINGS[0])
+    tokens += num_tokens_from_string(GPT_SETTINGS[0]["content"], "gpt-4")
     for (slowo, reakcja) in word_reactions.items():
-        temp = {"role : system", "content : Kiedy słyszysz " + slowo + " to reagujesz lub dzieje się to " + reakcja}
+        if not reakcja[3]:
+            temp = {"role": "system", "content": "Kiedy słyszysz " + slowo + " to reagujesz lub dzieje się to " + reakcja[0]}
+            tokens += num_tokens_from_string(temp["content"], "gpt-4")
+            history.append(temp)
 
+    logger.error("Liczba tokenów %s", tokens)
     if music:
-        history.extend(message_table_muzyka)
+        history.extend(message_table_muzyka[-20:0])
         response = await openai.ChatCompletion.acreate(
             model="gpt-3.5-turbo-16k", messages=history
         )
     else:
-        history.extend(MESSAGE_TABLE)
+        history.extend(MESSAGE_TABLE[-20:0])
         response = await openai.ChatCompletion.acreate(
-            model="gpt-4-32k", messages=history
+            model="gpt-3.5-turbo-16k", messages=history
         )
     logger.info("Historia wysłana:")
     logger.debug(history)