| | 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 |
| |
|
| | |
| | @tool |
| | def my_custom_tool(arg1:str, arg2:int)-> str: |
| | |
| | """A tool that does nothing yet |
| | Args: |
| | arg1: the first argument |
| | arg2: the second argument |
| | """ |
| | return "What magic will you build ?" |
| |
|
| | @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: |
| | |
| | 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)}" |
| |
|
| | @tool |
| | def unit_converter(value: float, from_unit: str, to_unit: str) -> str: |
| | """通用单位转换工具(支持长度、重量、温度) |
| | Args: |
| | value: 要转换的数值 |
| | from_unit: 原单位(支持:m, km, kg, g, °C, °F等) |
| | to_unit: 目标单位 |
| | """ |
| | try: |
| | |
| | if {from_unit, to_unit} <= {"m", "km"}: |
| | factor = 0.001 if from_unit == "m" else 1000 |
| | return f"{value}{from_unit} = {value*factor}{to_unit}" |
| | |
| | |
| | if {from_unit, to_unit} <= {"kg", "g"}: |
| | factor = 1000 if from_unit == "kg" else 0.001 |
| | return f"{value}{from_unit} = {value*factor}{to_unit}" |
| | |
| | |
| | if from_unit == "°C" and to_unit == "°F": |
| | return f"{value}°C = {value*9/5+32}°F" |
| | if from_unit == "°F" and to_unit == "°C": |
| | return f"{value}°F = {(value-32)*5/9}°C" |
| | |
| | return "暂不支持该单位转换" |
| | except Exception as e: |
| | return f"单位转换失败:{str(e)}" |
| |
|
| | final_answer = FinalAnswerTool() |
| |
|
| | |
| | |
| |
|
| | model = HfApiModel( |
| | max_tokens=2096, |
| | temperature=0.5, |
| | model_id='Qwen/Qwen2.5-Coder-32B-Instruct', |
| | custom_role_conversions=None, |
| | ) |
| |
|
| |
|
| | |
| | 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], |
| | max_steps=6, |
| | verbosity_level=1, |
| | grammar=None, |
| | planning_interval=None, |
| | name=None, |
| | description=None, |
| | prompt_templates=prompt_templates |
| | ) |
| |
|
| |
|
| | GradioUI(agent).launch() |