from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool, LiteLLMModel import datetime import requests import pytz import yaml from tools.final_answer import FinalAnswerTool import os from random import randint import typing import pandas as pd from Gradio_UI import GradioUI # Below is an example of a tool that does nothing. Amaze us with your creativity ! @tool def my_custom_tool(personality1:str, personality2:str)-> 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 """Этот иснтумент определяет, кто из двух людей круче. Args: personality1: Первый человек personality2: Второй человек """ return personality1 if randint(0, 1) else personality2 @tool def create_excel(data:typing.List[typing.List[str]], columns:typing.List[str], file_name:str)-> 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 """Этот иснтумент сохраняет датафрейм pandas в excel файл. И возвращает ответ, успешно или нет записан файл. Args: data: Параметр данных для загрузки в pandas и сохранения в файл. Формат список списков. columns: Параметр список имен колонок. file_name: Имя файла для сохранения. """ df = pd.DataFrame(data, columns=columns) try: df.to_excel(file_name, index=False) except Exception as e: return e return "Файл успешно сохранен" @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_id='Qwen/Qwen2.5-Coder-32B-Instruct' # model = HfApiModel( # max_tokens=2096, # temperature=0.5, # model_id=model_id,# it is possible that this model may be overloaded # custom_role_conversions=None, # ) model = LiteLLMModel(model_id="together_ai/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free", api_key=os.environ['TOGETHER_API_KEY']) # 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, get_current_time_in_timezone, my_custom_tool, create_excel], ## 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, additional_authorized_imports=['matplotlib', 'numpy', 'matplotlib.pyplot'] ) GradioUI(agent).launch()