aaron-ser's picture
Upload folder using huggingface_hub
9f282e5 verified
from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from tools.visit_webpage import VisitWebpageTool
# Custom imports
import requests
from Gradio_UI import GradioUI
@tool
def my_custom_tool(arg1:str, arg2:int)-> str:
"""A tool that does nothing yet
Args:
arg1: the first argument
arg2: the second argument
"""
return "What magic will you build ?"
@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)}"
@tool
def get_crypto_price_today (ticker: str) -> dict:
"""A tool that fetches the latest price for any cryptocurrency ticker.
Args:
ticker: Crypto ticker (e.g. 'BTC' for Bitcoin, 'ETH' for Ethereum, 'SOL' for Solana)"""
try:
key = f"https://api.binance.com/api/v3/ticker/price?symbol={ticker}"
data = requests.get(key).json()
return f"{data['ticker']} is {data['price']}."
except Exception as e:
return {"Error:", 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='Qwen/Qwen2.5-Coder-32B-Instruct',
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,
additional_authorized_imports=['requests'],
tools=[final_answer, get_current_time_in_timezone, image_generation_tool, get_crypto_price_today],
max_steps=6,
verbosity_level=1,
grammar=None,
planning_interval=None,
name=None,
description=None,
prompt_templates=prompt_templates,
)
GradioUI(agent).launch()