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 weather_forecaster(location: str, date: str) -> str:
    """
    Provides the weather forecast for a specific location and date.

    Args:
        location: The city or region for which the weather forecast is needed.
        date: The date for which the weather forecast is needed (format: YYYY-MM-DD).
    """
    # Implementation would involve calling a weather API to get the forecast.
    return f"The weather in {location} on {date} will be..."

@tool
def language_translator(text: str, target_language: str) -> str:
    """
    Translates a given text into the specified target language.

    Args:
        text: The text to be translated.
        target_language: The language code (e.g., 'es' for Spanish) to translate the text into.
    """
    # Implementation would involve using a translation API to convert the text.
    return f"Translated text: {text} in {target_language}..."

@tool
def stock_price_checker(stock_symbol: str) -> str:
    """
    Retrieves the current stock price for a given stock symbol.

    Args:
        stock_symbol: The stock symbol (e.g., 'AAPL' for Apple Inc.).
    """
    # Implementation would involve calling a financial API to get the stock price.
    return f"The current price of {stock_symbol} is..."

@tool
def news_headlines(topic: str, num_articles: int) -> str:
    """
    Fetches the latest news headlines for a specific topic.

    Args:
        topic: The topic for which news headlines are needed.
        num_articles: The number of articles to retrieve.
    """
    # Implementation would involve calling a news API to get the headlines.
    return f"Top {num_articles} headlines for {topic}..."

@tool
def recipe_finder(ingredients: list) -> str:
    """
    Finds recipes based on the provided list of ingredients.

    Args:
        ingredients: A list of ingredients to use in the recipe.
    """
    # Implementation would involve searching a recipe database or API.
    return f"Recipes using {', '.join(ingredients)}..."

@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)}"

@tool
def get_latest_tech_news(topic: str, max_results: int = 5) -> str:
    """Fetches recent news headlines or articles about a specific technology topic. Useful for staying updated on AI, Linux, IT trends, etc.
    Args:
        topic: The specific area of technology to search for (e.g., 'Artificial Intelligence', 'Ubuntu LTS', 'Prompt Engineering breakthroughs').
        max_results: The maximum number of news items to return (default is 5).
    """
    search_query = f"{topic} site:https://www.futuretools.io/"
    search_results = web_search({"query": search_query})

    news_items = []
    for result in search_results[:max_results]:
        news_items.append(result['title'])

    return "\n".join(news_items)

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,
        weather_forecaster,
        language_translator,
        stock_price_checker,
        news_headlines,
        recipe_finder,
        get_current_time_in_timezone,
        get_latest_tech_news
    ],  # 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()