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

def my_custom_tool(arg1:str, arg2:int) -> str:
    """A tool that does nothing yet 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build?"

def get_current_time_in_timezone(timezone: str) -> str:
    """Fetches the current local time in a specified timezone.
    Args:
        timezone: A string representing a valid timezone (e.g., 'America/New_York').
    """
    try:
        tz = pytz.timezone(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)}"

def get_wikipedia_summary(query: str) -> str:
    """Fetches a summary from Wikipedia.
    Args:
        query: The search term.
    """
    response = requests.get(f"https://en.wikipedia.org/api/rest_v1/page/summary/{query}")
    if response.status_code == 200:
        return response.json().get("extract", "No summary found.")
    return "Failed to fetch Wikipedia summary."

def get_weather(city: str) -> str:
    """Fetches weather data for a given city.
    Args:
        city: Name of the city.
    """
    API_KEY = "your_weather_api_key_here"
    url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={API_KEY}&units=metric"
    response = requests.get(url)
    if response.status_code == 200:
        data = response.json()
        return f"Weather in {city}: {data['weather'][0]['description']}, Temp: {data['main']['temp']}°C"
    return "Failed to fetch weather data."

def get_exchange_rate(base_currency: str, target_currency: str) -> str:
    """Fetches exchange rate between two currencies.
    Args:
        base_currency: The currency to convert from.
        target_currency: The currency to convert to.
    """
    url = f"https://api.exchangerate-api.com/v4/latest/{base_currency}"
    response = requests.get(url)
    if response.status_code == 200:
        data = response.json()
        rate = data['rates'].get(target_currency, "Currency not found")
        return f"Exchange rate from {base_currency} to {target_currency}: {rate}"
    return "Failed to fetch exchange rate."

def generate_text_summary(text: str) -> str:
    """Generates a concise summary of the provided text.
    Args:
        text: The text to summarize.
    """
    return "This is a summary of the given text. (Replace with actual implementation)"

def translate_text(text: str, target_language: str) -> str:
    """Translates text into the specified target language.
    Args:
        text: The text to translate.
        target_language: The target language code (e.g., 'fr' for French).
    """
    return f"Translated text to {target_language}: (Replace with actual implementation)"

final_answer = FinalAnswerTool()
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions=None,
)

image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
text_summarization_tool = load_tool("agents-course/text-summarization", trust_remote_code=True)
translation_tool = load_tool("agents-course/text-translation", 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, get_wikipedia_summary, get_weather, get_exchange_rate, image_generation_tool, text_summarization_tool, translation_tool],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name="Multi-Tool AI Assistant",
    description="An AI-powered assistant with multiple tools including weather, exchange rates, text summarization, and image generation.",
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()