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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 calculate_walking_time_paris(start : str, end: str) -> str:
"""A tool that gets the actual walking time in minutes between two places.
Args:
start: A string representing starting point.
end: A string representing destinatin
"""
# This is a placeholder function. In a real scenario, this function would call a tool to get the actual walking time.
# For now, we'll use predefined walking times for simplicity.
walking_times = {
("Eiffel Tower", "Champ de Mars"): "9",
("Champ de Mars", "Musée de l'Orangerie"): "11",
("Musée de l'Orangerie", "Pont Alexandre III"): "8",
("Pont Alexandre III", "Grand Palais"): "12",
("Grand Palais", "Jardins du Trocadéro"): "10",
("Jardins du Trocadéro", "Eiffel Tower"): "10",
("Eiffel Tower", "Musée Rodin"): "18",
("Musée Rodin", "Pont de l'Alma"): "7",
("Pont de l'Alma", "Basilique du Sacré-Cœur"): "13"
}
return walking_times.get((start, end), "19")
@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,
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=[get_current_time_in_timezone,calculate_walking_time_paris,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() |