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currency conversion tool
0b57db4
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from forex_python.converter import CurrencyRates
from smolagents import tool
from Gradio_UI import GradioUI
@tool
def currency_converter(amount: int, from_currency: str, to_currency: str) -> float:
"""A tool that converts an amount from one currency to another using real-time exchange rates.
Args:
amount: The amount of money to convert (integer value).
from_currency: The currency code of the original currency (e.g., 'USD').
to_currency: The currency code of the target currency (e.g., 'INR').
Returns:
Converted amount as per the current exchange rate.
"""
try:
c = CurrencyRates()
converted_amount = c.convert(from_currency, to_currency, amount)
return converted_amount
except Exception as e:
return f"Error in currency conversion: {str(e)}"
@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='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=[currency_converter,get_current_time_in_timezone,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()