app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
import random
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI

@tool
def quantum_fortune_llama(question: str, asker_name: str) -> str:
    """A Quantum Fortune Llama that spits cryptic, hilarious, and oddly specific predictions from across the multiverse.
    Args:
        question: The question the user dares to ask this majestic beast (it might ignore it entirely).
        asker_name: The brave soul who summoned the Llama’s cosmic spit.
    """
    llama_spits = [
        f"{asker_name}, the Llama peers through the 7th dimension: ‘You’ll invent a sandwich that screams on Thursdays.’",
        "With a majestic bleat, it prophesies: ‘Your socks will unionize and demand better lint rights.’",
        f"Spit lands from a parallel timeline—‘{asker_name}, a disco-loving squid will propose next Tuesday.’",
        "The Llama’s third eye winks: ‘Your Wi-Fi will gain sentience and ghost you for fun.’",
        f"{asker_name}, the Quantum Llama snorts: ‘A rogue pickle will challenge you to a duel at dawn.’",
        "From the void, it bleats: ‘You’ll sneeze glitter for 3 days straight. Plan accordingly.’",
        "The Llama chews on your fate: ‘A sentient cloud will adopt you as its emotional support human.’",
        f"{asker_name}, it spits a vision: ‘You’ll star in a reality show judged by feral raccoons.’",
        "Quantum drool reveals: ‘Your shadow will elope with a streetlamp. Send a postcard.’",
        "The Llama tap-dances across time: ‘Your breakfast will stage a coup. Toast leads the charge.’",
        f"Behold, {asker_name}! ‘A penguin in flip-flops will deliver your next big idea.’",
        "The Llama’s cosmic burp decrees: ‘You’ll accidentally join a cult of overly polite pigeons.’",
        "Spit swirls in 4D: ‘Your left shoe will write a bestselling memoir. Spoiler: it hates laces.’",
        f"{asker_name}, the Llama grins: ‘A time-traveling toaster will sue you for emotional damages.’",
        "The prophecy drips: ‘You’ll wake up fluent in Dolphin but only for karaoke night.’",
        "With a cosmic headbutt, it declares: ‘Your next pet rock will demand a corner office.’",
        f"{asker_name}, the Llama spits glitter: ‘A rogue kazoo will haunt your dreams with polka.’",
        "The Quantum Llama howls: ‘Your fridge will start a podcast about existential cheese.’",
        "A multiversal hoof-stomp reveals: ‘You’ll befriend a cloud shaped like a judgmental cat.’",
        f"Spit lands with sass, {asker_name}: ‘Your future smells like burnt popcorn and ambition.’",
    ]

    # Add a random "Llama Action" for extra flair and engagement
    llama_actions = [
        "The Llama does a backflip and spits twice for emphasis.",
        "It waggles its eyebrows and teleports three seconds into the future.",
        "The Llama moonwalks across a rainbow, leaving hoofprints of chaos.",
        "It dons sunglasses and bleats your fortune in a funky rhythm.",
        "The Llama chews on a quantum carrot, muttering about your alternate lives.",
    ]

    # Randomly select response and action
    fortune = random.choice(llama_spits)
    action = random.choice(llama_actions)
    return f"🦙 *The Quantum Fortune Llama turns its majestic gaze to {asker_name}*...\n{fortune}\n*{action}*"

@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()

model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
    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=[get_current_time_in_timezone, quantum_fortune_llama, DuckDuckGoSearchTool(), final_answer], # Replaced cosmic_fizz_oracle with quantum_fortune_llama
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)
response = agent.run("Ask the Quantum Fortune Llama about my future", {"asker_name": "YourName"})
print(response)

GradioUI(agent).launch()