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 typing import List, Dict, Any, Optional
from duckduckgo_search import DDGS

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)}"


# Simple Germany bounding box
GERMANY_BBOX = (5.8663, 47.2701, 15.0419, 55.0581)

@tool
def DuckDuckGoSearchTool(query: str, city: Optional[str] = None, limit: int = 10) -> List[Dict[str, Any]]:
    """A tool that searches DuckDuckGo Maps for cafes in Germany.
    Args:
        query: A string to refine the cafe search (e.g., 'vegan', 'wifi').
        city: Optional German city name (e.g., 'Berlin', 'Munich').
        limit: Maximum number of cafes to return.
    """
    try:
        maps_query = f"cafe {query}".strip()
        results = []

        with DDGS() as ddgs:
            for item in ddgs.maps(maps_query, region="de-de", bbox=GERMANY_BBOX, max_results=limit):
                results.append({
                    "name": item.get("title"),
                    "address": item.get("address"),
                    "website": item.get("url"),
                    "phone": item.get("phone"),
                    "rating": item.get("rating"),
                    "lat": (item.get("coordinates") or {}).get("latitude"),
                    "lon": (item.get("coordinates") or {}).get("longitude"),
                })

        return results

    except Exception as e:
        return [{"error": f"Failed to fetch cafes: {str(e)}"}]



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, image_generation_tool, my_custom_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()