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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 | |
| import requests | |
| from bs4 import BeautifulSoup | |
| from Gradio_UI import GradioUI | |
| # Below is an example of a tool that does nothing. Amaze us with your creativity ! | |
| def my_custom_tool(arg1:str, arg2:int)-> str: #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 does nothing yet | |
| Args: | |
| arg1: the first argument | |
| arg2: the second argument | |
| """ | |
| return "What magic will you build ?" | |
| def get_weather(location: str) -> dict: | |
| """ | |
| Scrapes the weather information for a given location from a weather website. | |
| Args: | |
| location: The name of the location for which to fetch the weather data (e.g., "New York", "London"). | |
| Returns: | |
| dict: A dictionary containing weather information such as temperature and weather description, | |
| or an error message if something goes wrong. The keys of the dictionary will include: | |
| - 'temperature': The current temperature in the location. | |
| - 'description': A short text describing the weather condition. | |
| - 'location': The location for which the weather was fetched. | |
| If an error occurs, the dictionary will include an 'error' key with the error message. | |
| Example: | |
| >>> get_weather("New York") | |
| {'temperature': '18°C', 'description': 'Partly cloudy', 'location': 'new-york'} | |
| Note: | |
| This function relies on web scraping and the structure of the website may change over time. | |
| Always check the legality of scraping a particular website before use. | |
| """ | |
| # Format the location for URL (e.g., "New York" -> "new-york") | |
| location = location.replace(" ", "-").lower() | |
| # URL of a weather website (e.g., 'https://www.weather.com') | |
| url = f"https://weather.com/weather/today/l/{location}" | |
| # Send a GET request to fetch the HTML content | |
| try: | |
| response = requests.get(url) | |
| response.raise_for_status() # Raise an exception for bad responses | |
| # Parse HTML content | |
| soup = BeautifulSoup(response.text, 'html.parser') | |
| # Extract weather information (change selectors according to the website structure) | |
| temperature = soup.find('span', {'class': 'CurrentConditions--tempValue--3KcTQ'}).text | |
| description = soup.find('div', {'class': 'CurrentConditions--phraseValue--2xXSr'}).text | |
| return { | |
| "temperature": temperature, | |
| "description": description, | |
| "location": location | |
| } | |
| except Exception as e: | |
| return {"error": f"An error occurred: {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, get_weather], ## 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() |