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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
# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> 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
"""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:
# 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)}"
@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:
# 长度转换
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}"
# 重量转换
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}"
# 温度转换
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()
# 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()