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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from typing import List, Dict
import tkapi
from tkapi.fractie import Fractie
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
api = tkapi.TKApi()
def Get_Active_Fractions() -> list[dict[str, str | int]]:
"""
Retrieves a list of all currently active fractions (political parties) in the Dutch parliament.
Returns:
List[Dict[str, Union[str, int]]]: A list of dictionaries containing information about each fraction:
- 'naam': Full name of the political party (string)
- 'afkorting': Abbreviation/acronym of the party (string)
- 'zetels_aantal': Number of seats the party holds (integer)
Example return value:
[
{
'naam': 'Volkspartij voor Vrijheid en Democratie',
'afkorting': 'VVD',
'zetels_aantal': 34
},
{
'naam': 'Democraten 66',
'afkorting': 'D66',
'zetels_aantal': 24
}
]
"""
try:
# Initialize API client
api = tkapi.TKApi(verbose=False)
# Create filter for active fractions
filter = Fractie.create_filter()
filter.filter_actief()
# Get all active fractions
active_fractions = api.get_fracties(filter=filter)
# Format the results
results = []
for fraction in active_fractions:
fraction_info = {
'naam': fraction.naam,
'afkorting': fraction.afkorting,
'zetels_aantal': fraction.zetels_aantal
}
results.append(fraction_info)
return results
except Exception as e:
print(f"Error fetching fraction data: {str(e)}")
return []
@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='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,
tools=[final_answer,Get_Active_Fractions], ## 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()