app.py

from smolagents import CodeAgent, 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 get_current_time_in_timezone(timezone: str) -> str:
    """
    A tool that fetches the current local time in a specified timezone.
    Args:
        timezone: A valid timezone string (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)}"

@tool
def get_nba_matches() -> str:
    """
    A tool that retrieves upcoming NBA matches using TheRundown API.
    (Assumes that sport-id 4 corresponds to the NBA and uses the "openers" endpoint.)
    
    Returns:
        A human-readable string listing the upcoming NBA matches.
    """
    import requests
    import datetime

    # Get today's date in YYYY-MM-DD format (or adjust to the desired event date)
    today = datetime.date.today().strftime("%Y-%m-%d")
    # Construct the URL using the required parameters.
    # Based on the API info, the URL should include the sport-id (here 4 for NBA) and the event date.
    url = f"https://api.apilayer.com/therundown/sports/4/openers/{today}?offset=0&include=scores"
    
    headers = {
        "apikey": "7k4hKSUeWkbigKxZiNV5CQ8RSlEd72Cj"
    }
    # Define query parameters if needed; here on fixe offset à 0 et on demande par exemple les scores (optionnel)
    params = {
        "offset": "0",
        "include": "scores"
    }
    
    response = requests.get(url, headers=headers, params=params)
    if response.status_code == 200:
        data = response.json()
        matches = []
        # Ajustez le parsing en fonction de la structure exacte de la réponse.
        # Par exemple, nous supposons que la réponse contient une clé "events" qui liste les matchs.
        for event in data.get("events", []):
            start_time = event.get("start_time", "Unknown time")
            # Supposons que l'information sur les équipes se trouve dans une liste "teams" avec un attribut "name"
            teams = event.get("teams", [])
            if len(teams) >= 2:
                home_team = teams[0].get("name", "Home team N/A")
                away_team = teams[1].get("name", "Away team N/A")
            else:
                home_team = "Home team N/A"
                away_team = "Away team N/A"
            matches.append(f"{start_time}: {home_team} vs {away_team}")
        if matches:
            return "\n".join(matches)
        else:
            return "No NBA matches found."
    else:
        return f"Error retrieving NBA matches: {response.status_code}"

@tool
def predict_nba_match(match_info: str) -> str:
    """
    A tool that generates a prediction for an NBA match.
    
    Args:
        match_info: A string containing match details in the format "TeamA vs TeamB".
    
    Returns:
        A string with the prediction (e.g., "The prediction is that TeamA will win.").
    """
    import random
    teams = match_info.split(" vs ")
    if len(teams) == 2:
        prediction = random.choice(teams)
        return f"The prediction is that {prediction} will win."
    else:
        return "Invalid match format. Please provide details in the format 'TeamA vs TeamB'."

# Instantiate the final_answer tool.
final_answer = FinalAnswerTool()

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

# Load prompt templates.
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)

# Initialize the agent with all necessary tools.
agent = CodeAgent(
    model=model,
    tools=[final_answer, get_current_time_in_timezone, get_nba_matches, predict_nba_match],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()