app.py

import os
os.system("pip install 'smolagents[openai]'")  # ✅ Installa SmolAgents con OpenAI
from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool, OpenAIServerModel
import datetime
import wikipediaapi
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)}"


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' 

@tool
def search_wikipedia(query: str, lang: str = "it") -> str:
    """Fetches a summary from Wikipedia for a given topic.
    
    Args:
        query: The search term for Wikipedia.
        lang: Language of the Wikipedia page (default: Italian).
    
    Returns:
        A short summary from Wikipedia.
    """
    wiki_wiki = wikipediaapi.Wikipedia(lang)  # Creiamo un'istanza di Wikipedia in italiano
    page = wiki_wiki.page(query)  # Cerchiamo la pagina

    if not page.exists():
        return f"Nessuna pagina trovata per '{query}' su Wikipedia."

    return page.summary[:500] + "..."  # Restituiamo un riassunto di massimo 500 caratteri


model = OpenAIServerModel(
    max_tokens=2096,
    temperature=0.5,
    model_id="gpt-4",
    api_key=os.getenv("OPENAI_API_KEY"),
    custom_role_conversions=None,
)

# Import tool from Hub
HF_API_KEY = os.getenv("HF_TOKEN")  # 🔒 Recuperiamo il token dai secrets

image_generation_tool = load_tool(
    "agents-course/text-to-image",
    trust_remote_code=True,
    token=HF_API_KEY  # ✅ Passiamo il token per autenticare le richieste
)

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


GradioUI(agent).launch()