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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
@tool
def my_custom_tool(currency: str = "usd", amount: float = 1.0) -> str:
"""A tool that fetches the current Bitcoin price and calculates conversion
Args:
currency: The currency to get Bitcoin rate in (default: 'usd')
amount: The amount of Bitcoin to convert (default: 1.0)
"""
try:
print(f"Fetching Bitcoin price for {amount} BTC in {currency}") # Debug log
# CoinGecko API endpoint for Bitcoin price
url = f"https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies={currency.lower()}"
response = requests.get(url)
response.raise_for_status()
# Get the Bitcoin rate
btc_price = response.json()['bitcoin'][currency.lower()]
converted_amount = btc_price * amount
result = f"{amount} Bitcoin = {converted_amount:,.2f} {currency.upper()} (Current BTC rate: {btc_price:,.2f} {currency.upper()})"
print(f"Result: {result}") # Debug log
return result
except requests.RequestException as e:
error_msg = f"Error fetching Bitcoin rate: {str(e)}"
print(f"Error: {error_msg}") # Debug log
return error_msg
except (KeyError, ValueError) as e:
error_msg = f"Error processing Bitcoin rate: {str(e)}"
print(f"Error: {error_msg}") # Debug log
return error_msg
@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://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
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, my_custom_tool, get_current_time_in_timezone, image_generation_tool],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates
)
GradioUI(agent).launch() |