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Merge pull request #712 from nponeccop/pr-whitespace2

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Remove trailing whitespace throughout
This commit is contained in:
Toran Bruce Richards
2023-04-10 23:02:31 +01:00
committed by GitHub
parent 78d2d57b8d c9701a3302
commit ed581461df
4 changed files with 13 additions and 13 deletions
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10
scripts/ai_config.py
View File

@@ -34,7 +34,7 @@ class AIConfig:
@classmethod
def load(cls: object, config_file: str=SAVE_FILE) -> object:
"""
Returns class object with parameters (ai_name, ai_role, ai_goals) loaded from yaml file if yaml file exists,
Returns class object with parameters (ai_name, ai_role, ai_goals) loaded from yaml file if yaml file exists,
else returns class with no parameters.
Parameters:
@@ -42,7 +42,7 @@ class AIConfig:
config_file (int): The path to the config yaml file. DEFAULT: "../ai_settings.yaml"
Returns:
cls (object): A instance of given cls object
cls (object): A instance of given cls object
"""
try:
@@ -61,11 +61,11 @@ class AIConfig:
"""
Saves the class parameters to the specified file yaml file path as a yaml file.
Parameters:
Parameters:
config_file(str): The path to the config yaml file. DEFAULT: "../ai_settings.yaml"
Returns:
None
None
"""
config = {"ai_name": self.ai_name, "ai_role": self.ai_role, "ai_goals": self.ai_goals}
@@ -76,7 +76,7 @@ class AIConfig:
"""
Returns a prompt to the user with the class information in an organized fashion.
Parameters:
Parameters:
None
Returns:

2
scripts/ai_functions.py
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@@ -27,7 +27,7 @@ def evaluate_code(code: str) -> List[str]:
def improve_code(suggestions: List[str], code: str) -> str:
"""
A function that takes in code and suggestions and returns a response from create chat completion api call.
A function that takes in code and suggestions and returns a response from create chat completion api call.
Parameters:
suggestions (List): A list of suggestions around what needs to be improved.

2
scripts/config.py
View File

@@ -37,7 +37,7 @@ class Config(metaclass=Singleton):
self.continuous_mode = False
self.speak_mode = False
self.fast_llm_model = os.getenv("FAST_LLM_MODEL", "gpt-3.5-turbo")
self.fast_llm_model = os.getenv("FAST_LLM_MODEL", "gpt-3.5-turbo")
self.smart_llm_model = os.getenv("SMART_LLM_MODEL", "gpt-4")
self.fast_token_limit = int(os.getenv("FAST_TOKEN_LIMIT", 4000))
self.smart_token_limit = int(os.getenv("SMART_TOKEN_LIMIT", 8000))