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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 convert_usd_to_eur(amount: float) -> str:
"""A tool to convert USD to EUR at a fixed exchange rate.
Args:
amount: Amount in USD.
"""
exchange_rate = 0.93 # You could make this dynamic with an API
euros = amount * exchange_rate
return f"{amount} USD is approximately {euros:.2f} EUR."
@tool
def get_fun_fact(topic: str) -> str:
"""A tool that returns a fun fact about a given topic.
Args:
topic: A topic like 'space', 'octopus', or 'time'.
"""
facts = {
"space": "There are more stars in the universe than grains of sand on Earth.",
"octopus": "Octopuses have three hearts and blue blood.",
"time": "Time passes faster at the top of a mountain than at sea level."
}
return facts.get(topic.lower(), f"I don't have a fun fact about {topic} — yet.")
@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='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=[get_current_time_in_timezone, get_fun_fact, convert_usd_to_eur, 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() |