Format Python code with psf/black push

cogs/search_service_cog.py

@@ -16,6 +16,7 @@ USER_INPUT_API_KEYS = EnvService.get_user_input_api_keys()
 USER_KEY_DB = EnvService.get_api_db()
 PRE_MODERATE = EnvService.get_premoderate()
 
+
 class RedoSearchUser:
     def __init__(self, ctx, query, search_scope, nodes):
         self.ctx = ctx

cogs/text_service_cog.py

@@ -556,7 +556,6 @@ class GPT3ComCon(discord.Cog, name="GPT3ComCon"):
         if message.author == self.bot.user:
             return
 
-
         # Moderations service is done here.
         if (
             hasattr(message, "guild")
@@ -580,7 +579,9 @@ class GPT3ComCon(discord.Cog, name="GPT3ComCon"):
 
         # Language check
         if FORCE_ENGLISH and len(message.content.split(" ")) > 3:
-            if not await Moderation.force_english_and_respond(message.content, self.LANGUAGE_DETECT_STARTER_TEXT, message):
+            if not await Moderation.force_english_and_respond(
+                message.content, self.LANGUAGE_DETECT_STARTER_TEXT, message
+            ):
                 await message.delete()
                 return
 
@@ -1025,7 +1026,6 @@ class GPT3ComCon(discord.Cog, name="GPT3ComCon"):
 
         # Append the starter text for gpt3 to the user's history so it gets concatenated with the prompt later
         if minimal or opener_file or opener:
-
             self.conversation_threads[thread.id].history.append(
                 EmbeddedConversationItem(self.CONVERSATION_STARTER_TEXT_MINIMAL, 0)
             )

models/openai_model.py

@@ -205,7 +205,7 @@ class Model:
         )
 
         print("Building language detector")
-        #self.detector = LanguageDetectorBuilder.from_languages(*Language.all()).build()
+        # self.detector = LanguageDetectorBuilder.from_languages(*Language.all()).build()
         print("Language detector built")
 
     def reset_settings(self):
@@ -781,7 +781,9 @@ class Model:
 
         prompt = f"{pretext}{text}\nOutput:"
 
-        max_tokens = Models.get_max_tokens(Models.DAVINCI) - self.usage_service.count_tokens(prompt)
+        max_tokens = Models.get_max_tokens(
+            Models.DAVINCI
+        ) - self.usage_service.count_tokens(prompt)
 
         print(f"Language detection request for {text}")
 
@@ -791,11 +793,9 @@ class Model:
                 "prompt": prompt,
                 "temperature": 0,
                 "top_p": 1,
-                "max_tokens": max_tokens
-            }
-            headers = {
-                "Authorization": f"Bearer {self.openai_key}"
+                "max_tokens": max_tokens,
             }
+            headers = {"Authorization": f"Bearer {self.openai_key}"}
             async with session.post(
                 "https://api.openai.com/v1/completions", json=payload, headers=headers
             ) as resp:

services/moderations_service.py

@@ -139,7 +139,7 @@ class Moderation:
     @staticmethod
     async def force_english_and_respond(text, pretext, ctx):
         response = await model.send_language_detect_request(text, pretext)
-        response_text = response['choices'][0]['text']
+        response_text = response["choices"][0]["text"]
 
         if "false" in response_text.lower().strip():
             if isinstance(ctx, discord.Message):
@@ -159,7 +159,14 @@ class Moderation:
 
         response = await Moderation.simple_moderate(text)
         print(response)
-        flagged = True if Moderation.determine_moderation_result(text, response, pre_mod_set, pre_mod_set) == ModerationResult.DELETE else False
+        flagged = (
+            True
+            if Moderation.determine_moderation_result(
+                text, response, pre_mod_set, pre_mod_set
+            )
+            == ModerationResult.DELETE
+            else False
+        )
 
         if flagged:
             if isinstance(ctx, discord.Message):

services/text_service.py

@@ -263,7 +263,6 @@ class TextService:
                     await converser_cog.end_conversation(ctx)
                     return
 
-
             # Send the request to the model
             if from_edit_command:
                 response = await converser_cog.model.send_edit_request(
@@ -538,7 +537,9 @@ class TextService:
         if conversing:
             # Pre-moderation check
             if PRE_MODERATE:
-                if await Moderation.simple_moderate_and_respond(message.content, message):
+                if await Moderation.simple_moderate_and_respond(
+                    message.content, message
+                ):
                     await message.delete()
                     return