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from smolagents import CodeAgent, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from tools.web_search import DuckDuckGoSearchTool
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 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 find_hotels(location: str, price_range: str) -> list:
"""Fetches the most suitable 10 hotels in a given location and price range.
Args:
location: A string representation of city or area where hotels should be searched. (e.g. 'America', 'Italy', 'Miami', 'Paris')
price_range: A string representation of the preferred price range (e.g., 'budget', 'mid-range', 'luxury').
Returns:
list: A list of dictionaries containing hotel titles, URLs, and snippets.
"""
try:
query = f"best hotels in {location} in {price_range} range"
with DuckDuckGoSearchTool as ddgs:
results = ddgs.text(query, max_results=10)
hotels = [{"title": r["title"], "url": r["href"], "snippet": r["body"]} for r in results]
return hotels
except Exception as e:
return [{"error": f"Failed to fetch hotels: {str(e)}"}]
final_answer = FinalAnswerTool()
web_search = DuckDuckGoSearchTool()
# 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, web_search], ## 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() |