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 get_recent_earthquakes(min_magnitude: float = 5.0) -> str: """ Retrieves earthquake data from the USGS API for the past 24 hours, filtered by minimum magnitude, and returns the GeoJSON data as a string. Args: min_magnitude: The minimum magnitude of earthquakes to retrieve (default: 5.0). Returns: A string containing the GeoJSON earthquake data, or an error message. """ import json now_utc = datetime.datetime.utcnow() end_time = now_utc.isoformat() start_time = (now_utc - datetime.timedelta(days=1)).isoformat() url = f"https://earthquake.usgs.gov/fdsnws/event/1/query?format=geojson&minmagnitude={min_magnitude}&starttime={start_time}&endtime={end_time}" try: response = requests.get(url) response.raise_for_status() # Raise HTTPError for bad responses (4xx or 5xx) data = response.json() return json.dumps(data) # Return GeoJSON as a string except requests.exceptions.RequestException as e: return f"Error fetching earthquake data: {e}" except json.JSONDecodeError as e: return f"Error decoding JSON response: {e}. Response text: {response.text}" except Exception as e: return f"An unexpected error occured: {e}" @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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# it is possible that this model may be overloaded | 'Qwen/Qwen2.5-Coder-32B-Instruct' 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,get_recent_earthquakes,get_current_time_in_timezone], ## 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()