Format Python code with psf/black push

cogs/gpt_3_commands_and_converser.py

@@ -1219,7 +1219,10 @@ class RedoButton(discord.ui.Button["RedoView"]):
             )
 
             await self.converser_cog.encapsulated_send(
-                user_id=user_id, prompt=prompt, ctx=ctx, response_message=response_message
+                user_id=user_id,
+                prompt=prompt,
+                ctx=ctx,
+                response_message=response_message,
             )
         else:
             await interaction.response.send_message(

cogs/image_prompt_optimizer.py

@@ -215,7 +215,10 @@ class RedoButton(discord.ui.Button["OptimizeView"]):
                 "Redoing your original request...", ephemeral=True, delete_after=20
             )
             await self.converser_cog.encapsulated_send(
-                user_id=user_id, prompt=prompt, ctx=ctx, response_message=response_message
+                user_id=user_id,
+                prompt=prompt,
+                ctx=ctx,
+                response_message=response_message,
             )
         else:
             await interaction.response.send_message(

models/moderations_service_model.py

@@ -51,7 +51,7 @@ class Moderation:
         return embed
 
     @staticmethod
-    def determine_moderation_result(text,response):
+    def determine_moderation_result(text, response):
         HATE_THRESHOLD = 0.005
         HATE_VIOLENCE_THRESHOLD = 0.05
         SELF_HARM_THRESHOLD = 0.05
@@ -60,7 +60,11 @@ class Moderation:
         VIOLENCE_THRESHOLD = 0.08
         VIOLENCE_GRAPHIC_THRESHOLD = 0.1
 
-        extreme_hatred_qualifiers = ["i fucking hate", "fucking hate", "i fucking despise"]
+        extreme_hatred_qualifiers = [
+            "i fucking hate",
+            "fucking hate",
+            "i fucking despise",
+        ]
 
         thresholds = [
             HATE_THRESHOLD,
@@ -88,7 +92,9 @@ class Moderation:
         # Iterate the category scores using the threshold_iterator and compare the values to thresholds
         for category, threshold in zip(threshold_iterator, thresholds):
             if category == "hate":
-                if "hate" in text.lower(): # The word "hate" makes the model oversensitive. This is a (bad) workaround.
+                if (
+                    "hate" in text.lower()
+                ):  # The word "hate" makes the model oversensitive. This is a (bad) workaround.
                     threshold = 0.1
                 if any(word in text.lower() for word in extreme_hatred_qualifiers):
                     threshold = 0.6
@@ -118,7 +124,9 @@ class Moderation:
                     response = await model.send_moderations_request(
                         to_moderate.message.content
                     )
-                    moderation_result = Moderation.determine_moderation_result(to_moderate.message.content,response)
+                    moderation_result = Moderation.determine_moderation_result(
+                        to_moderate.message.content, response
+                    )
 
                     if moderation_result:
                         # Take care of the flagged message