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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_cutom_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 creates a shopping list
# Args:
# arg1: the first argument
# arg2: the second argument
# """
# return "What magic will you build ?"
@tool
def create_meal_plan(days: int, family_size: int, dietary_restrictions: List[str] = None) -> Dict[str, List[str]]:
"""Creates a meal plan for specified number of days considering family size and restrictions
Args:
days: Number of days to plan for
family_size: Number of people to cook for
dietary_restrictions: List of dietary restrictions/preferences
"""
# This would integrate with your LLM to generate meal plans
# For now returning a simple example structure
meal_plan = {
"Monday": ["Vegetarian Pasta", "Grilled Chicken Salad", "Fish Tacos"],
"Tuesday": ["Oatmeal with Fruit", "Quinoa Bowl", "Stir Fry"]
}
return meal_plan
@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()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',# 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() |