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| from src.extractor import create_extractor | |
| from src.sql_chain import create_agent | |
| import os | |
| from dotenv import load_dotenv | |
| load_dotenv(".env") | |
| model = os.getenv('OPENAI_MODEL') | |
| ex = create_extractor() | |
| ag = create_agent(llm_model=model) | |
| def query(prompt): | |
| clean, ver = ex.clean(prompt, verbose=True) | |
| ans, ver = ag.ask(clean) | |
| return ans | |
| if __name__ == '__main__': | |
| import argparse | |
| parser = argparse.ArgumentParser(description="Process a user query.") | |
| parser.add_argument('-q', '--query', type=str, required=True, help='A query string to process') | |
| args = parser.parse_args() | |
| ans = query(args.query) | |
| print(ans["output"]) | |