Format Python code with psf/black push

Author: github-actions

cogs/code_interpreter_service_cog.py

@@ -455,7 +455,12 @@ async def code_interpreter_chat_command(
                 )
             )
 
-        llm = ChatOpenAI(model=model, temperature=temperature, top_p=top_p, openai_api_key=OPENAI_API_KEY)
+        llm = ChatOpenAI(
+            model=model,
+            temperature=temperature,
+            top_p=top_p,
+            openai_api_key=OPENAI_API_KEY,
+        )
 
         max_token_limit = 29000 if "gpt-4" in model else 7500
 

cogs/commands.py

@@ -761,7 +761,7 @@ async def load_index(
         input_type=discord.SlashCommandOptionType.number,
         max_value=1,
         min_value=0,
-        default=0
+        default=0,
     )
     @discord.option(
         name="top_p",
@@ -770,7 +770,7 @@ async def load_index(
         input_type=discord.SlashCommandOptionType.number,
         max_value=1,
         min_value=0,
-        default=1
+        default=1,
     )
     async def talk(
         self,
@@ -1137,7 +1137,7 @@ async def draw_action(self, ctx, message: discord.Message):
         input_type=discord.SlashCommandOptionType.number,
         max_value=1,
         min_value=0,
-        default=0
+        default=0,
     )
     @discord.option(
         name="top_p",
@@ -1146,7 +1146,7 @@ async def draw_action(self, ctx, message: discord.Message):
         input_type=discord.SlashCommandOptionType.number,
         max_value=1,
         min_value=0,
-        default=1
+        default=1,
     )
     async def chat_code(
         self,
@@ -1160,7 +1160,9 @@ async def chat_code(
                 "Code interpretation is disabled on this server.", ephemeral=True
             )
             return
-        await self.code_interpreter_cog.code_interpreter_chat_command(ctx, model=model, temperature=temperature, top_p=top_p)
+        await self.code_interpreter_cog.code_interpreter_chat_command(
+            ctx, model=model, temperature=temperature, top_p=top_p
+        )
 
     """
     Translation commands and actions
@@ -1284,7 +1286,7 @@ async def summarize_action(self, ctx, message: discord.Message):
         input_type=discord.SlashCommandOptionType.number,
         max_value=1,
         min_value=0,
-        default=0
+        default=0,
     )
     @discord.option(
         name="top_p",
@@ -1293,7 +1295,7 @@ async def summarize_action(self, ctx, message: discord.Message):
         input_type=discord.SlashCommandOptionType.number,
         max_value=1,
         min_value=0,
-        default=1
+        default=1,
     )
     async def chat(
         self,
@@ -1304,7 +1306,11 @@ async def chat(
         top_p: float = 1,
     ):
         await self.search_cog.search_chat_command(
-            ctx, search_scope=search_scope, model=model, temperature=temperature, top_p=top_p,
+            ctx,
+            search_scope=search_scope,
+            model=model,
+            temperature=temperature,
+            top_p=top_p,
         )
 
     # Search slash commands
@@ -1371,7 +1377,7 @@ async def search(
         nodes: int = 4,
         deep: bool = False,
         response_mode: str = "refine",
-        model: str ="gpt-4-1106-preview",
+        model: str = "gpt-4-1106-preview",
         multistep: bool = False,
     ):
         await self.search_cog.search_command(

cogs/index_service_cog.py

@@ -152,7 +152,8 @@ async def on_message(self, message):
 
                 prompt += (
                     "\n{System Message: the user has just uploaded the file "
-                    + str(file.filename) + "\n"
+                    + str(file.filename)
+                    + "\n"
                 )
 
             # Link operations, allow for user link upload, we connect and download the content at the link.

cogs/search_service_cog.py

@@ -419,7 +419,12 @@ async def on_message(self, message):
             safe_remove_list(self.thread_awaiting_responses, message.channel.id)
 
     async def search_chat_command(
-        self, ctx: discord.ApplicationContext, model, search_scope=2, temperature=0, top_p=1,
+        self,
+        ctx: discord.ApplicationContext,
+        model,
+        search_scope=2,
+        temperature=0,
+        top_p=1,
     ):
         await ctx.defer()
         embed_title = f"{ctx.user.name}'s internet-connected conversation with GPT"
@@ -477,7 +482,12 @@ async def search_chat_command(
             traceback.print_exc()
             print("Wolfram tool not added to internet-connected conversation agent.")
 
-        llm = ChatOpenAI(model=model, temperature=temperature, top_p=top_p, openai_api_key=OPENAI_API_KEY)
+        llm = ChatOpenAI(
+            model=model,
+            temperature=temperature,
+            top_p=top_p,
+            openai_api_key=OPENAI_API_KEY,
+        )
 
         max_token_limit = 29000 if "gpt-4" in model else 7500
 

models/index_model.py

@@ -511,8 +511,12 @@ async def start_index_chat(self, ctx, model, temperature, top_p):
         preparation_message = await ctx.channel.send(
             embed=EmbedStatics.get_index_chat_preparation_message()
         )
-        llm = ChatOpenAI(model=model, temperature=temperature, top_p=top_p, max_retries=2)
-        llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=temperature, top_p=top_p, model_name=model))
+        llm = ChatOpenAI(
+            model=model, temperature=temperature, top_p=top_p, max_retries=2
+        )
+        llm_predictor = LLMPredictor(
+            llm=ChatOpenAI(temperature=temperature, top_p=top_p, model_name=model)
+        )
 
         max_token_limit = 29000 if "gpt-4" in model else 7500
 

models/search_model.py

@@ -228,7 +228,6 @@ async def search(
             os.environ["OPENAI_API_KEY"] = user_api_key
         openai.api_key = os.environ["OPENAI_API_KEY"]
 
-
         # Initialize the search cost
         price = 0
 
@@ -340,7 +339,9 @@ async def search(
         embedding_model = OpenAIEmbedding()
 
         if "vision" in model:
-            llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=0, model=model, max_tokens=4096))
+            llm_predictor = LLMPredictor(
+                llm=ChatOpenAI(temperature=0, model=model, max_tokens=4096)
+            )
         else:
             llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=0, model=model))