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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 weather_forecast(location: str, date: str) -> str:
"""A tool to get the weather forecast for a specific location and date.
Args:
location: The location for which to get the weather forecast.
date: The date for the weather forecast in YYYY-MM-DD format.
"""
# Example implementation using a weather API
response = requests.get(f"https://api.weatherapi.com/v1/forecast.json?key=YOUR_API_KEY&q={location}&dt={date}")
data = response.json()
forecast = data['forecast']['forecastday'][0]['day']
return f"Weather forecast for {location} on {date}: {forecast['condition']['text']}, Temperature: {forecast['avgtemp_c']}°C"
@tool
def time_zone_converter(time: str, from_tz: str, to_tz: str) -> str:
"""A tool to convert time from one time zone to another.
Args:
time: The time to convert in HH:MM format.
from_tz: The time zone to convert from.
to_tz: The time zone to convert to.
"""
from_zone = pytz.timezone(from_tz)
to_zone = pytz.timezone(to_tz)
from_time = datetime.datetime.strptime(time, '%H:%M')
from_time = from_zone.localize(from_time)
to_time = from_time.astimezone(to_zone)
return to_time.strftime('%H:%M %Z')
@tool
def currency_converter(amount: float, from_currency: str, to_currency: str) -> str:
"""A tool to convert currency from one type to another.
Args:
amount: The amount of money to convert.
from_currency: The currency code to convert from.
to_currency: The currency code to convert to.
"""
response = requests.get(f"https://api.exchangerate-api.com/v4/latest/{from_currency}")
data = response.json()
rate = data['rates'][to_currency]
converted_amount = amount * rate
return f"{amount} {from_currency} is equal to {converted_amount:.2f} {to_currency}"
@tool
def task_reminder(task: str, due_date: str) -> str:
"""A tool to set a reminder for a task.
Args:
task: The task to be reminded of.
due_date: The due date for the task in YYYY-MM-DD format.
"""
return f"Reminder set for task: '{task}' due on {due_date}"
@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', #'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,
task_reminder,
currency_converter,
time_zone_converter,
weather_forecast
], ## 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() |