🎨 chore: run black to format the code

src/ChatProcess.py

@@ -108,7 +108,7 @@ class Chat:
         messages: list[discord.Message] = await fetch_messages_history(
             self.message.channel, 10, self.original_message
         )
-        #if latst item id is not original message id, add original message to messages
+        # if latst item id is not original message id, add original message to messages
         if messages[-1].id != self.original_message.id:
             messages.append(self.original_message)
         self.context = []

src/chatUtils/prompts.py

@@ -34,7 +34,8 @@ def createPrompt(
             sysprompt.replace("[server-name]", guildName)
             .replace("[channel-name]", channelName)
             .replace(
-                "[date-and-time]", datetime.datetime.utcnow().strftime("%d/%m/%Y %H:%M:%S")
+                "[date-and-time]",
+                datetime.datetime.utcnow().strftime("%d/%m/%Y %H:%M:%S"),
             )
         )
         prompt[0]["content"] = sysprompt
@@ -44,7 +45,8 @@ def createPrompt(
             .replace("[server-name]", guildName)
             .replace("[channel-name]", channelName)
             .replace(
-                "[date-and-time]", datetime.datetime.utcnow().strftime("%d/%m/%Y %H:%M:%S")
+                "[date-and-time]",
+                datetime.datetime.utcnow().strftime("%d/%m/%Y %H:%M:%S"),
             )
         )
     else:

src/chatUtils/requesters/claude.py

@@ -7,8 +7,9 @@ anthropic = AsyncAnthropic(
     api_key=os.getenv("ANTHROPIC_KEY"),
 )
 
+
 async def claude(messages):
-    #messages are a dict {} with content and roler.
+    # messages are a dict {} with content and roler.
     prompt = ""
     for message in messages:
         if message["role"] == "system":
@@ -20,7 +21,12 @@ async def claude(messages):
         elif message["role"] == "function":
             ...
     prompt += AI_PROMPT
-    completion = await anthropic.completions.create(stop_sequences=["\n\nHuman (", "\n\nSYSTEM: "], model="claude-2", max_tokens_to_sample=512, prompt=prompt)
+    completion = await anthropic.completions.create(
+        stop_sequences=["\n\nHuman (", "\n\nSYSTEM: "],
+        model="claude-2",
+        max_tokens_to_sample=512,
+        prompt=prompt,
+    )
     return {
         "name": "send_message",
         "arguments": {"message": completion.completion},

src/chatUtils/requesters/request.py

@@ -5,6 +5,7 @@ from src.chatUtils.requesters.llama import llama
 from src.chatUtils.requesters.llama2 import llama2
 from src.chatUtils.requesters.claude import claude
 
+
 class ModelNotFound(Exception):
     pass