app.py

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

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
    #Keep this format for the description / args / args description but feel free to modify the tool
    """A tool that does nothing yet 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build ?"

@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)}"

# New DeepResearch Tool
@tool
def deepresearch(query: str, depth: int = 2) -> str:
    """A tool that performs deep research on a given topic using iterative searches.
    Args:
        query: The research query topic.
        depth: The number of iterative search steps to perform (default is 2).
    """
    research_results = []
    # Create an instance of DuckDuckGoSearchTool
    search_tool = DuckDuckGoSearchTool()
    initial_result = search_tool(query)
    research_results.append(f"Initial search:\n{initial_result}")
    
    # Perform additional iterations for deeper research
    for i in range(1, depth):
        #Modify the query slightly for additional detail
        detailed_query = f"{query} analysis part {i}"
        detailed_result = search_tool(detailed_query)
        research_results.append(f"Additional research (iteration {i}:\n{detailed_result}")

    # Aggregate all the search results into one comprehensive answer
    aggregated_results = "\n\n".join(research_results)
    return f"Deep research results for '{query}':\n{aggregated_results}"

final_answer = FinalAnswerTool()
model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
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,
        DuckDuckGoSearchTool(),
        image_generation_tool,
        my_custom_tool,
        get_current_time_in_timezone,
        deepresearch
    ], ## 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()