Mtchmann/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# Below is an example of a tool that does nothing. Amaze us with your creativity !11@tool12def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type13    #Keep this format for the description / args / args description but feel free to modify the tool14    """A tool that does nothing yet 15    Args:16        arg1: the first argument17        arg2: the second argument18    """19    return "What magic will you build ?"20 21@tool22def get_current_time_in_timezone(timezone: str) -> str:23    """A tool that fetches the current local time in a specified timezone.24    Args:25        timezone: A string representing a valid timezone (e.g., 'America/New_York').26    """27    try:28        # Create timezone object29        tz = pytz.timezone(timezone)30        # Get current time in that timezone31        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")32        return f"The current local time in {timezone} is: {local_time}"33    except Exception as e:34        return f"Error fetching time for timezone '{timezone}': {str(e)}"35 36# New DeepResearch Tool37@tool38def deepresearch(query: str, depth: int = 2) -> str:39    """A tool that performs deep research on a given topic using iterative searches.40    Args:41        query: The research query topic.42        depth: The number of iterative search steps to perform (default is 2).43    """44    research_results = []45    # Create an instance of DuckDuckGoSearchTool46    search_tool = DuckDuckGoSearchTool()47    initial_result = search_tool(query)48    research_results.append(f"Initial search:\n{initial_result}")49    50    # Perform additional iterations for deeper research51    for i in range(1, depth):52        #Modify the query slightly for additional detail53        detailed_query = f"{query} analysis part {i}"54        detailed_result = search_tool(detailed_query)55        research_results.append(f"Additional research (iteration {i}:\n{detailed_result}")56 57    # Aggregate all the search results into one comprehensive answer58    aggregated_results = "\n\n".join(research_results)59    return f"Deep research results for '{query}':\n{aggregated_results}"60 61final_answer = FinalAnswerTool()62model = HfApiModel(63max_tokens=2096,64temperature=0.5,65model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded66custom_role_conversions=None,67)68 69 70# Import tool from Hub71image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)72 73with open("prompts.yaml", 'r') as stream:74    prompt_templates = yaml.safe_load(stream)75    76agent = CodeAgent(77    model=model,78    tools=[79        final_answer,80        DuckDuckGoSearchTool(),81        image_generation_tool,82        my_custom_tool,83        get_current_time_in_timezone,84        deepresearch85    ], ## add your tools here (don't remove final answer)86    max_steps=6,87    verbosity_level=1,88    grammar=None,89    planning_interval=None,90    name=None,91    description=None,92    prompt_templates=prompt_templates93)94 95 96GradioUI(agent).launch()