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 search_hf_models(query: str, task: str = None) -> str: """ Vyhledává modely na Hugging Face podle klíčových slov nebo typu úlohy. Args: query: Hledaná fráze (např. 'text classification') task: Filtr podle typu úlohy (např. 'text-classification') Vrací formátované informace o modelech včetně odkazů """ try: params = {"search": query, "filter": task} if task else {"search": query} response = requests.get( "https://huggingface.co/api/models", params=params, headers={"Accept": "application/json"} ) response.raise_for_status() results = [] for model in response.json()[:5]: # Top 5 výsledků model_info = f""" 🧠 **{model['modelId']}** - Autor: {model['author']} - Stažení: {model['downloads']:,} - Úlohy: {', '.join(model.get('tags', []))} - Odkaz: https://huggingface.co/{model['modelId']} """ results.append(model_info) return "\n\n".join(results) if results else "Nenalezeny žádné modely" except Exception as e: return f"Chyba při vyhledávání: {str(e)}" @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()