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| 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 | |
| # A useful and creative tool: Real-time Currency Converter | |
| def currency_converter(amount: float, from_currency: str, to_currency: str) -> str: | |
| """A tool that converts an amount from one currency to another using real-time exchange rates. | |
| Args: | |
| amount: The amount to convert. | |
| from_currency: The currency code of the amount (e.g., 'USD'). | |
| to_currency: The target currency code (e.g., 'EUR'). | |
| """ | |
| try: | |
| # API endpoint | |
| url = f"https://api.exchangerate-api.com/v4/latest/{from_currency.upper()}" | |
| response = requests.get(url) | |
| data = response.json() | |
| if "rates" not in data: | |
| return "Error: Could not fetch exchange rates. Please check the currency codes." | |
| # Get exchange rate and calculate | |
| rate = data["rates"].get(to_currency.upper()) | |
| if rate is None: | |
| return f"Error: Conversion rate for {to_currency} not found." | |
| converted_amount = round(amount * rate, 2) | |
| return f"{amount} {from_currency.upper()} is approximately {converted_amount} {to_currency.upper()}." | |
| except Exception as e: | |
| return f"Error retrieving exchange rate: {str(e)}" | |
| 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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' , # 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=[final_answer, currency_converter], # Added the new currency converter tool | |
| max_steps=6, | |
| verbosity_level=1, | |
| grammar=None, | |
| planning_interval=None, | |
| name=None, | |
| description=None, | |
| prompt_templates=prompt_templates | |
| ) | |
| GradioUI(agent).launch() | |