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from tools.final_answer import FinalAnswerTool
import yaml
import pytz
# import requests
import datetime
from smolagents import CodeAgent, HfApiModel, load_tool, tool
# DuckDuckGoSearchTool
# Below is an example of a tool that does nothing. Amaze us with your
# creativity !
MODEL_ID: str = "https://pflgm2locj2t89co.us-east-1.aws.endpoints." + \
"huggingface.cloud"
# MODEL_ID: str = "Qwen/Qwen2.5-Coder-32B-Instruct"
@tool
# it's import to specify the return type
def my_custom_tool(arg1: str, arg2: int) -> str:
# 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)}"
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,
# it is possible that this model may be overloaded
model_id=MODEL_ID,
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=[get_current_time_in_timezone, image_generation_tool, 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()
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