Format Python code with psf/black push

models/openai_model.py

@@ -1002,7 +1002,9 @@ async def send_chatgpt_chat_request(
                     messages.append(
                         {
                             "role": role,
-                            "name": username_clean if role == "user" else bot_name_clean,
+                            "name": username_clean
+                            if role == "user"
+                            else bot_name_clean,
                             "content": text,
                         }
                     )
@@ -1012,7 +1014,9 @@ async def send_chatgpt_chat_request(
                         messages.append(
                             {
                                 "role": role,
-                                "name": username_clean if role == "user" else bot_name_clean,
+                                "name": username_clean
+                                if role == "user"
+                                else bot_name_clean,
                                 "content": [
                                     {"type": "text", "text": text},
                                 ],
@@ -1028,7 +1032,9 @@ async def send_chatgpt_chat_request(
                         messages.append(
                             {
                                 "role": role,
-                                "name": username_clean if role == "user" else bot_name_clean,
+                                "name": username_clean
+                                if role == "user"
+                                else bot_name_clean,
                                 "content": [
                                     {"type": "text", "text": text},
                                 ],
@@ -1097,7 +1103,6 @@ async def send_chatgpt_chat_request(
                     except Exception:
                         raise ValueError("Could not decode JSON response from the API")
 
-
                 return response
 
     @backoff.on_exception(

services/text_service.py

@@ -910,7 +910,9 @@ async def process_conversation_message(
                 """
                 last_messages = converser_cog.conversation_threads[
                     message.channel.id
-                ].history[-6:] # Get the last 6 messages to determine context on whether we should draw
+                ].history[
+                    -6:
+                ]  # Get the last 6 messages to determine context on whether we should draw
                 last_messages = last_messages[1:]
                 try:
                     thinking_message = await TextService.trigger_thinking(message)
@@ -927,7 +929,9 @@ async def process_conversation_message(
                     await TextService.stop_thinking(thinking_message)
                     # This validation is only until we figure out what's wrong with the json response mode for vision.
                     if response_json["intent_to_draw"]:
-                        thinking_message = await TextService.trigger_thinking(message,is_drawing=True)
+                        thinking_message = await TextService.trigger_thinking(
+                            message, is_drawing=True
+                        )
 
                         links = await converser_cog.model.send_image_request_within_conversation(
                             response_json["prompt"],
@@ -954,7 +958,9 @@ async def process_conversation_message(
                         )
                 except:
                     try:
-                        await message.reply("I encountered an error while trying to draw..")
+                        await message.reply(
+                            "I encountered an error while trying to draw.."
+                        )
                         await thinking_message.delete()
                         converser_cog.conversation_threads[
                             message.channel.id