app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, LiteLLMModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
import calendar
import re
from bs4 import BeautifulSoup
from duckduckgo_search import DDGS
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)}"


def fetch_page_text(url: str) -> str:
    """Retrievies only readable text from the webpage"""
    try:
        r = requests.get(url, timeout=10)
        soup = BeautifulSoup(r.text, 'html.parser')
        paragraphs = soup.find_all('p')
        return '\n'.join(p.get_text() for p in paragraphs if p.get_text().strip())
    except Exception as e:
        return f"Unable to access page: {e}"

def web_search(query: str, max_results: int = 5) -> list:
    """Simple DuckDuckGo web search via DDGS"""
    try:
        with DDGS() as ddgs:
            return ddgs.text(query, max_results=max_results, backend="lite")
    except Exception as e:
        return [{"title": "Search failed", "href": "", "body": str(e)}]

@tool
def atp_player_tournament(player: str, month: str, year: str) -> str:
    """
    Finds ATP tournaments possibly involving a given player in a specific month and year,
    returning titles, links, and full text of web pages to let the LLM analyze them directly.

    Args:
        player: Player name or surname (e.g., Sinner, Alcaraz).
        month: Month name (e.g., January, Feb).
        year: 4-digit year (e.g., 2024, 2025).
    """
    # --- VALIDATION ---
    try:
        month_number = list(calendar.month_name).index(month.capitalize())
        month_full = calendar.month_name[month_number]
    except ValueError:
        return f"Invalid month: '{month}'"

    if not re.fullmatch(r"\d{4}", year):
        return f"Invalid year: '{year}'"

    query = f"{player} ATP tournaments {month_full} {year}"
    results = web_search(query)

    if not results or not isinstance(results, list):
        return f"No results found for {player} in {month_full} {year}.\nQuery used: '{query}'"

    # --- OUTPUT COMPOSITION ---
    output = f"Tournaments for {player} in {month_full} {year}:\n\n"
    for r in results[:3]:
        title = r.get("title", "No title")
        url = r.get("href", "")
        text = fetch_page_text(url)
        output += f"{title}\n {url}\nContent preview:\n{text[:1500]}...\n\n"


web_search = DuckDuckGoSearchTool()
final_answer = FinalAnswerTool()


# model_id='Qwen/Qwen2.5-Coder-32B-Instruct'

# 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=model_id,# it is possible that this model may be overloaded
# custom_role_conversions=None,
# )

MISTRAL_SMALL_LATEST = "mistral/mistral-small-latest"
model = LiteLLMModel(
    model_id=MISTRAL_SMALL_LATEST, 
    max_tokens=2096, 
    temperature=0.5,
    custom_role_conversions=None,
)


# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

enabled_tools = [
    final_answer,
    atp_player_tournament,
    image_generation_tool,
    web_search
]

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=enabled_tools, ## 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()