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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 my_custom_tool(arg1: str, arg2: int) -> str:
"""
Fetch datasets related to a medical keyword such as body parts (e.g., skin, brain) or imaging modalities (e.g., MRI, CT).
Args:
arg1: A medical keyword such as 'skin', 'brain', 'XRay', or 'ultrasound'.
arg2: The maximum number of datasets to return.
Returns:
A formatted list of dataset names matching the keyword from Hugging Face.
"""
try:
query = arg1.lower()
limit = int(arg2)
response = requests.get(
f"https://huggingface.co/api/datasets?search={query}&limit={limit}"
)
response.raise_for_status()
datasets = response.json()
if not datasets:
return f"No datasets found for '{arg1}'."
results = [f"- {ds.get('id', 'Unknown')}" for ds in datasets[:limit]]
return f"Datasets related to '{arg1}':\n" + "\n".join(results)
except Exception as e:
return f"Error fetching datasets for '{arg1}': {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()
# 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=[final_answer,my_custom_tool], ## 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() |