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 search_and_summarize_topic(topic: str) -> str:
    """Busca un tema en DuckDuckGo y genera una breve descripción que puede usarse como prompt para generar una imagen.
    
    Args:
        topic: Tema de interés (por ejemplo, 'ecosistema del Amazonas', 'batalla de Waterloo', 'ciudad futurista').
    """
    try:
        search_tool = DuckDuckGoSearchTool()
        search_results = search_tool.search(topic)

        if not search_results:
            return "No se encontraron resultados relevantes."

        # Tomamos los primeros 3 resultados para evitar exceso de información
        snippets = [res["body"] for res in search_results[:3] if "body" in res]
        combined_text = " ".join(snippets)

        # Resumen simple (puedes mejorar con NLP si deseas)
        if len(combined_text) > 400:
            summary = combined_text[:400].rsplit(".", 1)[0] + "."
        else:
            summary = combined_text

        return f"Resumen visual sugerido para '{topic}': {summary}"

    except Exception as e:
        return f"Error al buscar información sobre '{topic}': {str(e)}"


@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)}"


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, search_and_summarize_topic, image_generation_tool],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()