Patch Updates to Main File

- Fixed issue with logging non-standard Unicode characters in username (removed username in logs).
- Resolved issue with logging prompts when prompt is flagged by Moderation API by refactoring log code into multiple functions.
- Added logged moderation prompts to be more clear when flagged by API

GPTBot.py

@@ -10,29 +10,31 @@
 path = config['LOG_PATH']
 openai.api_key = config['OPENAI_API_KEY']
 
+
 class aclient(discord.Client):
-    
+
     def __init__(self):
         super().__init__(intents=discord.Intents.all())
         self.synced = False
 
     async def on_ready(self):
-
         await self.wait_until_ready()
-        
-        await self.change_presence(activity = discord.Activity(
-            type = discord.ActivityType.listening, 
+
+        await self.change_presence(activity=discord.Activity(
+            type=discord.ActivityType.listening,
             name='your prompts!'
         ))
-        
+
         if not self.synced:
             await tree.sync()
             self.synced = True
-            
+
         print('Logged in as:')
         print(f'{self.user.name}, {self.user.id}')
-        print('Created by Joeyy#4628. The most up-to-date code can be found on github: https://github.com/Joeya1ds/Discord-GPT3-Bot')
-        print('--------------------------------------------------------------------------------------------------------------------')
+        print(
+            'Created by Joeyy#4628. The most up-to-date code can be found on github: https://github.com/Joeya1ds/Discord-GPT3-Bot')
+        print(
+            '--------------------------------------------------------------------------------------------------------------------')
 
 
 client = aclient()
@@ -41,36 +43,57 @@ async def on_ready(self):
 
 @tree.command(name='ask', description='Ask the AI bot a question!')
 async def ask(interaction: discord.Interaction, prompt: str):
-
-    username = interaction.user.name
     user = interaction.user.id
 
-    # Moderation API flagging and response creation
-    moderate = openai.Moderation.create(input = prompt)
+    # Moderation API flagging
+    moderate = openai.Moderation.create(input=prompt)
     flagged = moderate['results'][0]['flagged']
+
+    # Logging user message functions
+    def createlog():
+        if not os.path.exists(f'{path}/{user}'):
+            print(f'User with ID: {user} does not have a log file created. Creating.')
+            os.makedirs(f'{path}/{user}')
+
+    def userlog():
+        with open(f'{path}/{user}/{user}.txt', 'a') as f:
+            f.write(f'{user} wrote: "{prompt}"')
+
+    def userlogToken():
+        with open(f'{path}/{user}/{user}.txt', 'a') as f:
+            f.write(f' using {openairesponse["usage"]["total_tokens"]} tokens.')
+
+    def userlogWarn():
+        with open(f'{path}/{user}/{user}.txt', 'a') as f:
+            f.write(f' and was flagged by the OpenAI Moderation API!')
+
+    def userlogNL():
+        with open(f'{path}/{user}/{user}.txt', 'a') as f:
+            f.write(f'\n')
 
+    # Functions for generating and sending bot responses to chat messages
     if flagged:
+        createlog()
+        userlog()
+        userlogWarn()
+        userlogNL()
         await interaction.response.send_message('I cannot respond to what you have said, it has been flagged by the Moderation API.')
-        print(f'User {username} with ID: {user} has had a prompt flagged by the Moderation API. Consider checking logs.')
+        print(f'User with ID: {user} has had a prompt flagged by the Moderation API. Consider checking logs.')
         return
-        
+
     openairesponse = openai.Completion.create(
         engine='text-davinci-003',
         prompt=prompt,
-        max_tokens=100,
+        max_tokens=200,
         temperature=0.8,
         top_p=0.8,
     )
-
-    await interaction.response.send_message(openairesponse['choices'][0]['text'])
 
-    # Logging User Messages inside text file
-    if not os.path.exists(f'{path}/{user}'):
-        print(f'User {username} with ID: {user} does not have a log file created. Creating.')
-        os.makedirs(f'{path}/{user}')
-
-    with open(f'{path}/{user}/{user}.txt', 'a') as f:
-        f.write(f'User {username} wrote: {prompt} using {openairesponse["usage"]["total_tokens"]} tokens.\n')
+    createlog()
+    userlog()
+    userlogToken()
+    userlogNL()
+    await interaction.response.send_message(openairesponse['choices'][0]['text'])
 
 
 client.run(config['DISCORD_BOT_TOKEN'])