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
from duckduckgo_search import DDGS

# 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)}"

@tool
def ddg_tool(query:str, area:str, max_results:int=5) -> list:
    """A tool that searches for restuarants in a particular location using DuckDuckGo search.
    Args:
       query:The type of restuarant cuisine or keyword (e.g mexican).
       area: The city in which the restaurants are located in(e.g Paris).
       max_results: Number of results to return, which is 5.
    """
    ddg_tool =DDGS()
    full_query = f"{query} restuarant in {area}"

    search_results =DDGS().text(full_query, max_results=max_results)
    results= []
    for result in search_results:
        results.append(result)
    
    return results

@tool
def forex_tool(query:str,amt:float, base_currency:str, conv_currency:str)-> float:
    """A tool that searches for the current forex rate of 2 currencies
    and outputs how much your money is worth by multiplying your amount with the
    other country's rate.
    Args:
       query: the foreign exchange rates between the two currencies(e.g 1 base_currency to conv_currency?
       where base_currency and conv_currency are placeholders for the actual currencies)
       amt: the amount of money to be converted
       base_currency:the base currency that has to be converted (e.g usd)
       conv_currency:the currency to be converted into(e.g ghs)
    """
    forex_tool= DDGS()
    search_result = DDGS().text(query)
    amount_worth = amt * float(conv_currency)
    return amount_worth

final_answer = FinalAnswerTool()

# 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:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 

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, ddg_tool, forex_tool], ## 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()