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

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
    #Keep this format for the description / args / args description but feel free to modify the tool
    """A tool that does nothing yet 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build ?"

@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 math_operation(operation: str, num1: float, num2: float) -> str:
    """A tool that performs basic arithmetic operations.
    Args:
        operation: The operation to perform (e.g., 'add', 'subtract', 'multiply', 'divide').
        num1: The first number.
        num2: The second number.
    """
    try:
        if operation == "add":
            result = num1 + num2
        elif operation == "subtract":
            result = num1 - num2
        elif operation == "multiply":
            result = num1 * num2
        elif operation == "divide":
            result = num1 / num2
        else:
            return "Invalid operation. Use 'add', 'subtract', 'multiply', or 'divide'."
        return f"The result of {operation} {num1} and {num2} is {result}."
    except Exception as e:
        return f"Error performing math operation: {str(e)}"

@tool
def get_news_summary(api_key: str, query: str = "technology", num_articles: int = 3) -> str:
    """A tool that fetches and summarizes the latest news articles.
    Args:
        api_key: '35dd0733c12a4a698bed693e2b85e830'
        query: The topic to search for (e.g., 'technology', 'sports').
        num_articles: The number of articles to summarize.
    """
    try:
        # Fetch news articles
        url = f"https://newsapi.org/v2/everything?q={query}&apiKey={api_key}&pageSize={num_articles}"
        response = requests.get(url)
        data = response.json()

        if data["status"] != "ok":
            return f"Error fetching news: {data.get('message', 'Unknown error')}"

        articles = data["articles"]
        summaries = []

        # Summarize each article
        for article in articles:
            title = article["title"]
            description = article["description"]
            summaries.append(f"**{title}**: {description}")

        return "\n\n".join(summaries)
    except Exception as e:
        return f"Error fetching or summarizing news: {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, math_operation, get_news_summary], ## 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()