Format code

Author: this

client/h2ogpt_client/_core.py

@@ -70,7 +70,7 @@ def create(
         number_returns: int = 1,
         system_pre_context: str = "",
         langchain_mode: LangChainMode = LangChainMode.DISABLED,
-        system_prompt: str = '',
+        system_prompt: str = "",
     ) -> "TextCompletion":
         """
         Creates a new text completion.
@@ -96,7 +96,8 @@ def create(
         :param system_pre_context: directly pre-appended without prompt processing
         :param langchain_mode: LangChain mode
         :param add_chat_history_to_context: Whether to add chat history to context
-        :param system_prompt: Universal system prompt to override prompt_type's system prompt
+        :param system_prompt: Universal system prompt to override prompt_type's system
+                              prompt
         """
         params = _utils.to_h2ogpt_params(locals().copy())
         params["instruction"] = ""  # empty when chat_mode is False
@@ -117,7 +118,7 @@ def create(
         params["document_choice"] = []
         params["pre_prompt_summary"] = ""
         params["prompt_summary"] = ""
-        params['system_prompt'] = ''
+        params["system_prompt"] = ""
         return TextCompletion(self._client, params)
 
 
@@ -187,7 +188,7 @@ def create(
         number_returns: int = 1,
         system_pre_context: str = "",
         langchain_mode: LangChainMode = LangChainMode.DISABLED,
-        system_prompt: str = '',
+        system_prompt: str = "",
     ) -> "ChatCompletion":
         """
         Creates a new chat completion.
@@ -212,7 +213,8 @@ def create(
         :param number_returns:
         :param system_pre_context: directly pre-appended without prompt processing
         :param langchain_mode: LangChain mode
-        :param system_prompt: Universal system prompt to override prompt_type's system prompt
+        :param system_prompt: Universal system prompt to override prompt_type's system
+                              prompt
         """
         params = _utils.to_h2ogpt_params(locals().copy())
         params["instruction"] = None  # future prompts
@@ -224,7 +226,7 @@ def create(
         params["instruction_nochat"] = ""  # empty when chat_mode is True
         params["langchain_mode"] = langchain_mode.value  # convert to serializable type
         params["add_chat_history_to_context"] = False  # relevant only for the UI
-        params["system_prompt"] = ''
+        params["system_prompt"] = ""
         params["langchain_action"] = LangChainAction.QUERY.value
         params["langchain_agents"] = []
         params["top_k_docs"] = 4  # langchain: number of document chunks