rdaudt/First_agent_template

1from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool2import datetime3import requests4import pytz5import yaml6from tools.final_answer import FinalAnswerTool7 8from Gradio_UI import GradioUI9 10 11@tool12def secret_to(target: str) -> str: # It's important to specify the return type13    """14    Provides the secret number '42' when asked about life, the universe, or everything.15    Args:16        target (str): The subject of the secret inquiry. Must be exactly one of 'life', 'universe', or 'everything'.17    """18    # List of valid targets for which the answer is 4219    valid_targets = ['life', 'universe', 'everything']20 21    # Check if the provided target is one of the valid ones22    if target in valid_targets:23        return "42"24    else:25        # Return the specified message if the target is not recognized26        return "How can I know it?"27        28@tool29def get_current_time_in_timezone(timezone: str) -> str:30    """A tool that fetches the current local time in a specified timezone.31    Args:32        timezone: A string representing a valid timezone (e.g., 'America/New_York').33    """34    try:35        # Create timezone object36        tz = pytz.timezone(timezone)37        # Get current time in that timezone38        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")39        return f"The current local time in {timezone} is: {local_time}"40    except Exception as e:41        return f"Error fetching time for timezone '{timezone}': {str(e)}"42 43 44final_answer = FinalAnswerTool()45 46# 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:47# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 48 49model = HfApiModel(50max_tokens=2096,51temperature=0.5,52model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded53custom_role_conversions=None,54)55 56 57# Import tool from Hub58image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)59 60with open("prompts.yaml", 'r') as stream:61    prompt_templates = yaml.safe_load(stream)62    63agent = CodeAgent(64    model=model,65    tools=[secret_to, final_answer], ## add your tools here (don't remove final answer)66    max_steps=6,67    verbosity_level=1,68    grammar=None,69    planning_interval=None,70    name=None,71    description=None,72    prompt_templates=prompt_templates73)74 75 76GradioUI(agent).launch()