sql67/First_agent_template

1from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool2import datetime3import requests4import pytz5import yaml6from tools.final_answer import FinalAnswerTool7 8from Gradio_UI import GradioUI9 10# Below is an example of a tool that does nothing. Amaze us with your creativity !11@tool12def my_custom_tool(price: float, discount_percentage: float)-> str: #it's import to specify the return type13    #Keep this format for the description / args / args description but feel free to modify the tool14    """这是一个计算商品打折后最终价格的工具。15    Args:16        price: 商品的原始价格（数字，例如 100.0）17        discount_percentage: 折扣百分比（数字，例如 20 代表打八折）18    """19    # 编写你的 Python 业务逻辑20    discount_amount = price * (discount_percentage / 100)21    final_price = price - discount_amount22    23    return f"原本价格是 {price} 元，享受了 {discount_percentage}% 的折扣，最终价格为 {final_price} 元。"24 25@tool26def get_current_time_in_timezone(timezone: str) -> str:27    """A tool that fetches the current local time in a specified timezone.28    Args:29        timezone: A string representing a valid timezone (e.g., 'America/New_York').30    """31    try:32        # Create timezone object33        tz = pytz.timezone(timezone)34        # Get current time in that timezone35        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")36        return f"The current local time in {timezone} is: {local_time}"37    except Exception as e:38        return f"Error fetching time for timezone '{timezone}': {str(e)}"39 40 41final_answer = FinalAnswerTool()42 43# 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:44# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 45 46model = HfApiModel(47max_tokens=2096,48temperature=0.5,49model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded50custom_role_conversions=None,51)52 53 54# Import tool from Hub55image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)56 57with open("prompts.yaml", 'r') as stream:58    prompt_templates = yaml.safe_load(stream)59    60agent = CodeAgent(61    model=model,62    tools=[final_answer,my_custom_tool], ## add your tools here (don't remove final answer)63    max_steps=6,64    verbosity_level=1,65    grammar=None,66    planning_interval=None,67    name=None,68    description=None,69    prompt_templates=prompt_templates70)71 72 73GradioUI(agent).launch()