app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from huggingface_hub import login
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: name
        arg2: age
    """
    return "Hello sir"

@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_last_5_results(club_url):
#     headers = {
#         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
#     }
#     from bs4 import BeautifulSoup
    
#     try:
#         response = requests.get(club_url, headers=headers)
#         response.raise_for_status()
        
#         soup = BeautifulSoup(response.text, 'html.parser')
#         matches = soup.find_all('div', class_='styled__MatchStyled-sc-630jsf-1')  # Contenedor principal
        
#         results = []
#         for match in matches[:5]:
#             # Extraer fecha y hora
#             date_time = match.find('div', class_=lambda x: x and 'DateTimeStyled' in x)
#             full_date = date_time.get_text(strip=True) if date_time else "Fecha no disponible"
            
#             # Equipos y resultado
#             teams = match.find_all('span', class_=lambda x: x and 'TextRegular' in x)
#             score = match.find('span', class_=lambda x: x and 'Scoreboard' in x)
            
#             if len(teams) >= 2 and score:
#                 home_team = teams[0].get_text(strip=True)
#                 away_team = teams[1].get_text(strip=True)
#                 results.append({
#                     'date': full_date,
#                     'home_team': home_team,
#                     'score': score.get_text(strip=True),
#                     'away_team': away_team
#                 })
        
#         return results
    
    except Exception as e:
        print(f"Error: {str(e)}")
        return []
    
    if not matches:
        return f"No recent matches found for the team."
    
    # Format the last 5 matches
    formatted_matches = "\n".join(matches[:5])
    return formatted_matches


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_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 

model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id= model_id, #'stabilityai/stable-diffusion-xl-base-1.0',# 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_last_match], ## 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()