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 pubmed_search_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 """ base_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi" params = { "db": "pubmed", "term": query, # Terme de recherche (ex: "diabetes treatment") "retmax": 5, # Nombre maximum de résultats "retmode": "xml" # Format XML pour récupérer les résultats } response = requests.get(base_url, params=params) if response.status_code != 200: return "Erreur lors de la recherche sur PubMed." # Parser la réponse XML pour extraire les IDs des articles root = ElementTree.fromstring(response.content) article_ids = [id_elem.text for id_elem in root.findall(".//Id")] if not article_ids: return "Aucun article trouvé pour cette requête." # Construire les liens vers PubMed pubmed_links = [f"https://pubmed.ncbi.nlm.nih.gov/{article_id}/" for article_id in article_ids] return "\n".join(pubmed_links) # @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='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()