Spaces:
Sleeping
Sleeping
| 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 ! | |
| def convert_currency(amount: float, from_currency: str, to_currency: str) -> str: | |
| """ | |
| Convert an amount from one currency to another using live exchange rates. | |
| Args: | |
| amount: The numeric amount to convert. | |
| from_currency: The source currency code (for example USD or INR). | |
| to_currency: The target currency code (for example EUR or GBP). | |
| """ | |
| try: | |
| url = "https://api.frankfurter.app/latest" | |
| params = { | |
| "amount": amount, | |
| "from": from_currency.upper(), | |
| "to": to_currency.upper() | |
| } | |
| data = requests.get(url, params=params, timeout=10).json() | |
| rate = data["rates"].get(to_currency.upper()) | |
| if rate is None: | |
| return f"Conversion failed. API response: {data}" | |
| return f"{amount} {from_currency.upper()} = {round(rate, 2)} {to_currency.upper()}" | |
| except Exception as e: | |
| return f"Currency conversion failed: {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='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=[final_answer,convert_currency], ## 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() |