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 @tool def weather_forecaster(location: str, date: str) -> str: """ Provides the weather forecast for a specific location and date. Args: location: The city or region for which the weather forecast is needed. date: The date for which the weather forecast is needed (format: YYYY-MM-DD). """ # Implementation would involve calling a weather API to get the forecast. return f"The weather in {location} on {date} will be..." @tool def language_translator(text: str, target_language: str) -> str: """ Translates a given text into the specified target language. Args: text: The text to be translated. target_language: The language code (e.g., 'es' for Spanish) to translate the text into. """ # Implementation would involve using a translation API to convert the text. return f"Translated text: {text} in {target_language}..." @tool def stock_price_checker(stock_symbol: str) -> str: """ Retrieves the current stock price for a given stock symbol. Args: stock_symbol: The stock symbol (e.g., 'AAPL' for Apple Inc.). """ # Implementation would involve calling a financial API to get the stock price. return f"The current price of {stock_symbol} is..." @tool def news_headlines(topic: str, num_articles: int) -> str: """ Fetches the latest news headlines for a specific topic. Args: topic: The topic for which news headlines are needed. num_articles: The number of articles to retrieve. """ # Implementation would involve calling a news API to get the headlines. return f"Top {num_articles} headlines for {topic}..." @tool def recipe_finder(ingredients: list) -> str: """ Finds recipes based on the provided list of ingredients. Args: ingredients: A list of ingredients to use in the recipe. """ # Implementation would involve searching a recipe database or API. return f"Recipes using {', '.join(ingredients)}..." @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)}" @tool def get_latest_tech_news(topic: str, max_results: int = 5) -> str: """Fetches recent news headlines or articles about a specific technology topic. Useful for staying updated on AI, Linux, IT trends, etc. Args: topic: The specific area of technology to search for (e.g., 'Artificial Intelligence', 'Ubuntu LTS', 'Prompt Engineering breakthroughs'). max_results: The maximum number of news items to return (default is 5). """ search_query = f"{topic} site:https://www.futuretools.io/" search_results = web_search({"query": search_query}) news_items = [] for result in search_results[:max_results]: news_items.append(result['title']) return "\n".join(news_items) 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, weather_forecaster, language_translator, stock_price_checker, news_headlines, recipe_finder, get_current_time_in_timezone, get_latest_tech_news ], # 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()