| 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 |
|
|
| |
| @tool |
| def my_custom_tool(arg1:str, arg2:int)-> str: |
| |
| """A tool that does nothing yet |
| Args: |
| arg1: the first argument |
| arg2: the second argument |
| """ |
| return "What magic will you build ?" |
|
|
| |
|
|
| def suggest_menu(occasion: str) -> str: |
| """ |
| Suggests a menu based on the occasion. |
| Args: |
| occasion (str): The type of occasion for the party. Allowed values are: |
| - "casual": Menu for casual party. |
| - "formal": Menu for formal party. |
| - "superhero": Menu for superhero party. |
| - "custom": Custom menu. |
| """ |
| if occasion == "casual": |
| return "Pizza, snacks, and drinks." |
| elif occasion == "formal": |
| return "3-course dinner with wine and dessert." |
| elif occasion == "superhero": |
| return "Buffet with high-energy and healthy food." |
| else: |
| return "Custom menu for the butler." |
|
|
| |
| agent = CodeAgent(tools=[suggest_menu], model=HfApiModel()) |
|
|
| |
| agent.run("Prepare a formal menu for the party.") |
|
|
| @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: |
| |
| tz = pytz.timezone(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, |
| ) |
|
|
|
|
| |
| 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], |
| max_steps=6, |
| verbosity_level=1, |
| grammar=None, |
| planning_interval=None, |
| name=None, |
| description=None, |
| prompt_templates=prompt_templates |
| ) |
|
|
|
|
| GradioUI(agent).launch() |