Added support for ollama endpoint and defining the LLM model in the config

This commit is contained in:
user 2024-08-31 22:58:40 +02:00
parent d964f599be
commit ca4f56833a
7 changed files with 38 additions and 33 deletions

15
main.py
View file

@ -111,10 +111,7 @@ class ConfigValidator:
raise ConfigError(f"Invalid email format in secrets file {secrets_yaml_path}.")
if not secrets['password']:
raise ConfigError(f"Password cannot be empty in secrets file {secrets_yaml_path}.")
if not secrets['openai_api_key']:
raise ConfigError(f"OpenAI API key cannot be empty in secrets file {secrets_yaml_path}.")
return secrets['email'], str(secrets['password']), secrets['openai_api_key'], secrets['openai_api_free_hosted_url']
return secrets['email'], str(secrets['password']), secrets['llm_api_key']
class FileManager:
@staticmethod
@ -158,14 +155,14 @@ def init_browser() -> webdriver.Chrome:
except Exception as e:
raise RuntimeError(f"Failed to initialize browser: {str(e)}")
def create_and_run_bot(email, password, parameters, openai_api_key, openai_api_free_hosted_url):
def create_and_run_bot(email, password, parameters, llm_api_key):
try:
style_manager = StyleManager()
resume_generator = ResumeGenerator()
with open(parameters['uploads']['plainTextResume'], "r") as file:
plain_text_resume = file.read()
resume_object = Resume(plain_text_resume)
resume_generator_manager = FacadeManager(openai_api_key, style_manager, resume_generator, resume_object, Path("data_folder/output"))
resume_generator_manager = FacadeManager(llm_api_key, style_manager, resume_generator, resume_object, Path("data_folder/output"))
os.system('cls' if os.name == 'nt' else 'clear')
resume_generator_manager.choose_style()
os.system('cls' if os.name == 'nt' else 'clear')
@ -175,7 +172,7 @@ def create_and_run_bot(email, password, parameters, openai_api_key, openai_api_f
browser = init_browser()
login_component = LinkedInAuthenticator(browser)
apply_component = LinkedInJobManager(browser)
gpt_answerer_component = GPTAnswerer(openai_api_key, openai_api_free_hosted_url)
gpt_answerer_component = GPTAnswerer(parameters, llm_api_key)
bot = LinkedInBotFacade(login_component, apply_component)
bot.set_secrets(email, password)
bot.set_job_application_profile_and_resume(job_application_profile_object, resume_object)
@ -197,12 +194,12 @@ def main(resume: Path = None):
secrets_file, config_file, plain_text_resume_file, output_folder = FileManager.validate_data_folder(data_folder)
parameters = ConfigValidator.validate_config(config_file)
email, password, openai_api_key, openai_api_free_hosted_url = ConfigValidator.validate_secrets(secrets_file)
email, password, llm_api_key = ConfigValidator.validate_secrets(secrets_file)
parameters['uploads'] = FileManager.file_paths_to_dict(resume, plain_text_resume_file)
parameters['outputFileDirectory'] = output_folder
create_and_run_bot(email, password, parameters, openai_api_key, openai_api_free_hosted_url)
create_and_run_bot(email, password, parameters, llm_api_key)
except ConfigError as ce:
print(f"Configuration error: {str(ce)}")
print("Refer to the configuration guide for troubleshooting: https://github.com/feder-cr/LinkedIn_AIHawk_automatic_job_application/blob/main/readme.md#configuration")