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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 | |
| # ========================================== | |
| # 🛠️ 1. FERRAMENTAS PERSONALIZADAS | |
| # ========================================== | |
| 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: | |
| tz = pytz.timezone(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_weather(location: str) -> str: | |
| """A tool that fetches the current weather for a given location. | |
| Args: | |
| location: The name of the city or location (e.g., 'Tokyo', 'Sao Paulo', 'New York'). | |
| """ | |
| try: | |
| response = requests.get(f"https://wttr.in/{location}?format=3") | |
| response.raise_for_status() | |
| return f"O clima atual em {location} é: {response.text}" | |
| except Exception as e: | |
| return f"Erro ao buscar o clima para '{location}': {str(e)}" | |
| def get_exchange_rate(base_currency: str, target_currency: str) -> str: | |
| """A tool that gets the current exchange rate between two currencies. | |
| Args: | |
| base_currency: The 3-letter code of the currency to convert from (e.g., 'USD', 'EUR'). | |
| target_currency: The 3-letter code of the currency to convert to (e.g., 'BRL', 'JPY'). | |
| """ | |
| try: | |
| url = f"https://api.frankfurter.app/latest?from={base_currency}&to={target_currency}" | |
| response = requests.get(url) | |
| data = response.json() | |
| rate = data['rates'][target_currency] | |
| return f"A cotação atual é: 1 {base_currency} = {rate} {target_currency}" | |
| except Exception as e: | |
| return "Erro ao buscar a cotação. Verifique se as siglas estão corretas (ex: USD, BRL)." | |
| # ========================================== | |
| # 🤖 2. CONFIGURAÇÃO DO MODELO E HUB TOOLS | |
| # ========================================== | |
| final_answer = FinalAnswerTool() | |
| search_tool = DuckDuckGoSearchTool() | |
| # AQUI ESTÁ A CORREÇÃO: Usando HfApiModel no lugar de InferenceClientModel | |
| model = HfApiModel( | |
| max_tokens=2096, | |
| temperature=0.5, | |
| model_id='Qwen/Qwen2.5-Coder-32B-Instruct', | |
| custom_role_conversions=None, | |
| ) | |
| # Carrega ferramentas da comunidade do Hugging Face Hub | |
| image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) | |
| # ========================================== | |
| # 🧠 3. INICIALIZAÇÃO DO AGENTE | |
| # ========================================== | |
| with open("prompts.yaml", 'r') as stream: | |
| prompt_templates = yaml.safe_load(stream) | |
| agent = CodeAgent( | |
| model=model, | |
| tools=[ | |
| final_answer, | |
| search_tool, | |
| get_current_time_in_timezone, | |
| get_weather, | |
| get_exchange_rate, | |
| image_generation_tool | |
| ], | |
| max_steps=6, | |
| verbosity_level=1, | |
| grammar=None, | |
| planning_interval=None, | |
| name=None, | |
| description=None, | |
| prompt_templates=prompt_templates | |
| ) | |
| # Inicia a Interface Visual | |
| GradioUI(agent).launch() |