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 smolagents.tools import (
    WebScrapingTool,
    CalculatorTool,
    FileReadTool
)

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 currency_converter(amount:float, from_currency:str, to_currency:str) -> str:
    """Convert between currencies using real-time exchange rates"""
    try:
        url = f"https://api.exchangerate-api.com/v4/latest/{from_currency}"
        response = requests.get(url)
        rates = response.json()["rates"]
        converted = amount * rates[to_currency]
        return f"Convertion of {amount} {from_currency} = {converted:.2f} {to_currency}"
    except Exception as e:
        return f"Error converting {amount} {from_currency} to {to_currency}}"
        
@tool
def website_availability(url: str) -> str:
    """Check if a website is online and responsive"""
    try:
        response = requests.get(url, timeout=5)
        return f"Website {url} is online (Status: {response.status_code})"
    except requests.exceptions.RequestException:
        return f"Website {url} is unreachable"

@tool
def text_summarizer(long_text: str) -> str:
    """Summarize long text documents (dummy implementation - replace with AI summarization)"""
    try:
        # For production: Integrate with Hugging Face summarization pipeline
        sentences = long_text.split('.')
        return '. '.join(sentences[:3]) + '...'  # Simple first-3-sentences summary
    except Exception as e:
        return f"Error summarizing {sentences}"
        

@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='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)
weather_tool = load_tool("agents-course/weather-api", trust_remote_code=True)
wiki_tool = load_tool("agents-course/wiki-search", trust_remote_code=True)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer], ## 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,
    image_generation_tool,
    weather_tool, 
    wiki_tool,
    get_current_time_in_timezone,
    currency_converter,
    website_availability,
    text_summarizer
)


GradioUI(agent).launch()