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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 datetime import datetime, timedelta
import json
from Gradio_UI import GradioUI
# Below is the new deadline calculator tool
@tool
def deadline_calculator(start_date: str, days: int) -> str:
"""
A tool that calculates the deadline date based on a given start date and duration in days.
Args:
start_date (str): The starting date in the format 'YYYY-MM-DD'.
days (int): The number of days until the deadline.
Returns:
str: A JSON-formatted string containing:
- "Deadline" (str): The calculated deadline date in 'YYYY-MM-DD' format.
- "Day of Week" (str): The corresponding day of the week for the deadline.
- "Error" (str, optional): If an invalid date format is provided, an error message is returned.
Example:
>>> deadline_calculator("2025-02-18", 10)
'{"Deadline": "2025-02-28", "Day of Week": "Friday"}'
"""
try:
start = datetime.strptime(start_date, "%Y-%m-%d")
deadline = start + timedelta(days=days)
weekday = deadline.strftime("%A")
result = {"Deadline": deadline.strftime("%Y-%m-%d"), "Day of Week": weekday}
except ValueError:
result = {"Error": "Invalid date format. Please use 'YYYY-MM-DD'."}
return json.dumps(result) # Converts dictionary to a string
# Example usage:
# print(deadline_calculator("2025-02-18", 10))
@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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', #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, get_current_time_in_timezone, deadline_calculator], ## 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() |