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5.23 kB
| from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool | |
| import datetime | |
| import requests | |
| import pytz | |
| import yaml | |
| from tools.final_answer import FinalAnswerTool | |
| from newsapi import NewsApiClient | |
| from Gradio_UI import GradioUI | |
| # Newsapi info | |
| NEWSAPI_KEY = "be0caa3084bf4bdc9052203cb149d9e1" | |
| newsapi = NewsApiClient(api_key = NEWSAPI_KEY) | |
| # 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_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)}" | |
| def get_news_updates(query: str) -> str: | |
| """ | |
| Fetches and summarizes recent news articles based on a query. | |
| Args: | |
| query: The topic or keyword to search for in news articles. | |
| """ | |
| try: | |
| # Fetch news articles based on the query | |
| response = newsapi.get_everything(q=query, language='en', sort_by='publishedAt') | |
| if response['status'] == 'ok' and len(response['articles']) > 0: | |
| articles = response['articles'] | |
| # Summarize the first few articles | |
| summaries = [] | |
| for article in articles[:5]: # Limiting to 5 articles | |
| title = article.get('title', '') | |
| description = article.get('description', '') | |
| source = article.get('source', {}).get('name', '') | |
| url = article.get('url', '') | |
| datetime = article.get('publishedAt', '') | |
| summary = f"Title: {title}\nSource: {source}\nDescription: {description}\nLink: {url}\nPublished at: {datetime}" | |
| summaries.append(summary) | |
| return '\n\n'.join(summaries) | |
| else: | |
| return "No news articles found for the given query." | |
| except Exception as e: | |
| return f"Error fetching the latest news because of {str(e)}" | |
| def convert_currency(amount: float, from_currency: str, to_currency: str) -> str: | |
| """ | |
| Converts an amount from one currency to another based on real-time exchange rates. | |
| Args: | |
| amount: The amount of money to be converted. | |
| from_currency: The currency code of the original amount (e.g., 'USD'). | |
| to_currency: The currency code of the target currency (e.g., 'EUR'). | |
| """ | |
| try: | |
| # Conversion rate API | |
| API_URL = f"https://v6.exchangerate-api.com/v6/ac069b4cb2fe9f46d311de15/latest/{from_currency}" | |
| # Fetch the latest exchange rates | |
| response = requests.get(API_URL) | |
| if response.status_code == 200: | |
| data = response.json() | |
| # Get the conversion rate for the target currency | |
| to_rate = data['conversion_rates'].get(to_currency.upper(), None) | |
| if to_rate is not None: | |
| # Convert the amount to the target currency | |
| converted_amount = amount * to_rate | |
| return f"{amount} {from_currency} is equal to {converted_amount:.2f} {to_currency}" | |
| else: | |
| return f"Currency '{to_currency}' not supported." | |
| else: | |
| return f"Failed to fetch exchange rates. Status code: {response.status_code}" | |
| except Exception as e: | |
| return 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=[get_current_time_in_timezone, get_news_updates, image_generation_tool, convert_currency, final_answer], ## 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() |