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

@tool
def make_greasy(text: str) -> str:
    """A tool that adds grease-themed flair to any text output.
    
    Args:
        text: The input text to make greasy
    """
    import random
    
    grease_stains = ["💧", "🛢️", "🫘", "⭕", "⚫", "🔴", "•"]
    grease_smudges = [" ̶", " ̴", " ͜", " ̚", " ̸", "~", "_"]
    
    # Add random grease drips and stains
    greasy_text = ""
    for char in text:
        greasy_text += char
        if random.random() < 0.1:  # 10% chance for each character
            greasy_text += random.choice(grease_stains)
        if random.random() < 0.05:  # 5% chance for smudges
            greasy_text += random.choice(grease_smudges)
    
    # Add grease-themed decorative border
    width = max(len(line) for line in greasy_text.split('\n'))
    border = "🛢️" * (width // 4)
    
    greasy_result = f"""
    {border}
    WARNING: EXTREMELY GREASY CONTENT BELOW
    {border}
    
    {greasy_text}
    
    {border}
    CAUTION: CONTENT MAY LEAVE STAINS
    {border}
    """
    
    # Add final grease disclaimer
    greasy_result += "\n[This text has been professionally greased. Handle with care.]"
    
    return greasy_result

@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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' ,# 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, make_greasy],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()