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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 | |
| 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 ?" | |
| from bs4 import BeautifulSoup | |
| import json | |
| def get_hugging_face_top_daily_paper() -> str: | |
| """ | |
| This is a tool that returns the most upvoted paper on Hugging Face daily papers. | |
| It returns the title of the paper | |
| """ | |
| try: | |
| url = "<https://huggingface.co/papers>" | |
| response = requests.get(url) | |
| response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx) | |
| soup = BeautifulSoup(response.content, "html.parser") | |
| # Extract the title element from the JSON-like data in the "data-props" attribute | |
| containers = soup.find_all('div', class_='SVELTE_HYDRATER contents') | |
| top_paper = "" | |
| for container in containers: | |
| data_props = container.get('data-props', '') | |
| if data_props: | |
| try: | |
| # Parse the JSON-like string | |
| json_data = json.loads(data_props.replace('"', '"')) | |
| if 'dailyPapers' in json_data: | |
| top_paper = json_data['dailyPapers'][0]['title'] | |
| except json.JSONDecodeError: | |
| continue | |
| return top_paper | |
| except requests.exceptions.RequestException as e: | |
| print(f"Error occurred while fetching the HTML: {e}") | |
| return None | |
| def get_paper_id_by_title(title: str) -> str: | |
| """ | |
| This is a tool that returns the arxiv paper id by its title. | |
| It returns the title of the paper | |
| Args: | |
| title: The paper title for which to get the id. | |
| """ | |
| api = HfApi() | |
| papers = api.list_papers(query=title) | |
| if papers: | |
| paper = next(iter(papers)) | |
| return paper.id | |
| else: | |
| return None | |
| 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], ## 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() |