app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from typing import Optional
from catholic_mass_readings import USCCB, models
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

@tool
def mass_readings(date: Optional[datetime.date] = None) -> str:
    """
    Retrieve Catholic Mass readings for a specified date.
    
    Args:
        date: Date to retrieve readings for (defaults to today)
        
    Returns:
        String containing the mass readings response
    """
    # Default to today if no date provided
    if date is None:
        date = datetime.date.today()
        
    try:
        # Create synchronous version using asyncio in a blocking call
        import asyncio
        
        async def _get_readings():
            async with USCCB() as usccb:
                mass = await usccb.get_mass(date, models.MassType.DEFAULT)
                return str(mass)
        
        # Run the async function in a new event loop
        loop = asyncio.new_event_loop()
        asyncio.set_event_loop(loop)
        result = loop.run_until_complete(_get_readings())
        loop.close()
        
        return result
    except Exception as e:
        return f"Error retrieving mass readings: {str(e)}"

@tool
def word_counter(text: str, exclude_common: bool = False) -> str:
    """Counts words in text with optional common word filtering
    
    Args:
        text: The text to analyze
        exclude_common: If True, excludes common words (a, the, and, etc.)
    """
    if not text:
        return "No text provided"
        
    common_words = {"the", "a", "an", "and", "in", "on", "at", "of", "to", "for", "with"}
    words = text.lower().split()
    
    if exclude_common:
        words = [w for w in words if w not in common_words]
    
    word_count = len(words)
    unique_count = len(set(words))
    
    return f"Total words: {word_count}, Unique words: {unique_count}"

@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)

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, word_counter, mass_readings, image_generation_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()