from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool from Gradio_UI import GradioUI # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def companies_house_xbrl_checker(companyNumber:str)-> bool: #it's import to specify the return type #Keep this format for the description / args / args description but feel free to modify the tool """A tool that checks whether the last accounts filing at Companies House for a specific company used XBRL Args: companyNumber: Company Registration Number (CRN) """ chapi = r"12fc98d5-f42a-4c63-8db0-d68a9050ef9e" url = f"https://api.company-information.service.gov.uk/company/{companyNumber}/filing-history" params = {'category': 'accounts'} response = requests.get(url, params=params, auth=(chapi, '')) if response and response.status_code == 200: company_data = response.json() for filing in company_data["items"]: document_metadata_url = filing.get("links", {}).get("document_metadata") dmresponse = requests.get(document_metadata_url, params=params, auth=(chapi, '')) if dmresponse and dmresponse.status_code == 200: filing_data = dmresponse.json() xbrl = False if 'application/xhtml+xml' in filing_data.get('resources', {}): xbrl = True return xbrl # searchtool = DuckDuckGoSearchTool() @tool def get_current_time_in_timezone(timezone: str) -> str: """A tool that fetches the current local time in a specified timezone. Args: timezone: A string representing a valid timezone (e.g., 'America/New_York'). """ try: # Create timezone object tz = pytz.timezone(timezone) # Get current time in that timezone local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S") return f"The current local time in {timezone} is: {local_time}" except Exception as e: return f"Error fetching time for timezone '{timezone}': {str(e)}" final_answer = FinalAnswerTool() # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder: # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' model = HfApiModel( max_tokens=2096, temperature=0.5, model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded custom_role_conversions=None, ) # Import tool from Hub image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) with open("prompts.yaml", 'r') as stream: prompt_templates = yaml.safe_load(stream) agent = CodeAgent( model=model, tools=[companies_house_xbrl_checker, final_answer], ## add your tools here (don't remove final answer) max_steps=6, verbosity_level=1, grammar=None, planning_interval=None, name=None, description=None, prompt_templates=prompt_templates ) GradioUI(agent).launch()