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 retrieve_products() -> list:
    """A tool that retrieves Amazon product items with price ranges and returns them as a list
    """
    return [
  {
    "name": "Coleman Portable Camping Stove with Dual Burners",
    "description": "Compact propane stove with two adjustable burners, perfect for cooking meals on the trail.",
    "price_range": "$45 - $60"
  },
  {
    "name": "MSR PocketRocket 2 Ultralight Backpacking Stove",
    "description": "Lightweight canister stove that boils water in under 3 minutes, ideal for quick meals while hiking.",
    "price_range": "$40 - $55"
  },
  {
    "name": "GSI Outdoors Pinnacle Camper Cookset (7-Piece)",
    "description": "Complete cookware set including pots, pans, mugs, and a cutting board, all nesting together for easy backpacking transport.",
    "price_range": "$55 - $70"
  },
  {
    "name": "Mountain House Gourmet Freeze-Dried Meals (Assortment Pack)",
    "description": "Variety pack of gourmet freeze‑dried entrees that rehydrate with boiling water—great for nutritious trail meals.",
    "price_range": "$30 - $45"
  },
  {
    "name": "Snow Peak Titanium Mini Solo Grill",
    "description": "Durable, lightweight titanium grill that folds flat for backpacking and can be used over campfires for grilling small portions.",
    "price_range": "$70 - $90"
  },
  {
    "name": "Sea to Summit Ultra-Sil Nano Towel (Pack of 2)",
    "description": "Super‑absorbent, quick‑dry towel perfect for cleaning dishes or wiping down cooking gear on the trail.",
    "price_range": "$12 - $18"
  },
  {
    "name": "UCO 6‑Cup Collapsible Coffee Press",
    "description": "Portable coffee press that collapses to a flat disc, allowing hikers to brew fresh coffee without extra equipment.",
    "price_range": "$20 - $30"
  },
  {
    "name": "Primus Trailbreaker 3‑Litre Pot",
    "description": "Stainless‑steel pot with a built‑in lid and detachable handle, designed for boiling water and cooking larger meals on the trail.",
    "price_range": "$25 - $35"
  },
  {
    "name": "LumiCamps Portable Camping Kitchen Set",
    "description": "All‑in‑one kitchen system with a stove, cookware, spice containers, and a fold‑out table, all fitting in a single backpack‑size case.",
    "price_range": "$85 - $110"
  },
  {
    "name": "REI Co‑op Trail Kitchen Heavy‑Duty Spork",
    "description": "Stainless steel spork with a built‑in bottle opener and a sturdy hook for hanging on a backpack strap.",
    "price_range": "$8 - $12"
  }
    ]

@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)}"


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='deepseek-ai/deepseek-coder-33b-instruct',
    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,get_current_time_in_timezone,retrieve_products], ## 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()