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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool |
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import datetime |
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import requests |
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import pytz |
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import yaml |
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from typing import List, Dict |
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import tkapi |
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from tkapi.fractie import Fractie |
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from tools.final_answer import FinalAnswerTool |
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from Gradio_UI import GradioUI |
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api = tkapi.TKApi() |
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def Get_Active_Fractions() -> list[dict[str, str | int]]: |
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""" |
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Retrieves a list of all currently active fractions (political parties) in the Dutch parliament. |
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Returns: |
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List[Dict[str, Union[str, int]]]: A list of dictionaries containing information about each fraction: |
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- 'naam': Full name of the political party (string) |
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- 'afkorting': Abbreviation/acronym of the party (string) |
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- 'zetels_aantal': Number of seats the party holds (integer) |
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Example return value: |
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[ |
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{ |
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'naam': 'Volkspartij voor Vrijheid en Democratie', |
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'afkorting': 'VVD', |
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'zetels_aantal': 34 |
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}, |
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{ |
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'naam': 'Democraten 66', |
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'afkorting': 'D66', |
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'zetels_aantal': 24 |
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} |
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] |
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""" |
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try: |
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api = tkapi.TKApi(verbose=False) |
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filter = Fractie.create_filter() |
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filter.filter_actief() |
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active_fractions = api.get_fracties(filter=filter) |
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results = [] |
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for fraction in active_fractions: |
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fraction_info = { |
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'naam': fraction.naam, |
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'afkorting': fraction.afkorting, |
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'zetels_aantal': fraction.zetels_aantal |
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} |
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results.append(fraction_info) |
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return results |
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except Exception as e: |
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print(f"Error fetching fraction data: {str(e)}") |
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return [] |
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@tool |
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def get_current_time_in_timezone(timezone: str) -> str: |
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"""A tool that fetches the current local time in a specified timezone. |
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Args: |
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timezone: A string representing a valid timezone (e.g., 'America/New_York'). |
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""" |
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try: |
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tz = pytz.timezone(timezone) |
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S") |
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return f"The current local time in {timezone} is: {local_time}" |
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except Exception as e: |
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return f"Error fetching time for timezone '{timezone}': {str(e)}" |
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final_answer = FinalAnswerTool() |
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model = HfApiModel( |
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max_tokens=2096, |
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temperature=0.5, |
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct', |
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custom_role_conversions=None, |
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) |
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True) |
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with open("prompts.yaml", 'r') as stream: |
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prompt_templates = yaml.safe_load(stream) |
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agent = CodeAgent( |
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model=model, |
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tools=[final_answer,Get_Active_Fractions], |
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max_steps=6, |
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verbosity_level=1, |
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grammar=None, |
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planning_interval=None, |
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name=None, |
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description=None, |
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prompt_templates=prompt_templates |
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) |
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GradioUI(agent).launch() |