from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import gradio as gr
import spaces
from tools.final_answer import FinalAnswerTool


# 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' 

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], ## 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
)


# Questa è la funzione che verrà eseguita quando l'utente scrive una domanda
# Il decoratore @spaces.GPU fa sì che Hugging Face metta in coda l'esecuzione sulla GPU
@spaces.GPU(enable_queue=True)
def process_query(question):
    # L'agente esegue il ragionamento e chiama i tool (come quello dell'ora o quello delle immagini)
    return agent.run(question)

# Creo una semplice interfaccia Gradio con un campo di testo in input e uno in output
demo = gr.Interface(
    fn=process_query,
    inputs=gr.Textbox(label="La tua domanda", placeholder="Chiedimi qualsiasi cosa...", lines=4),
    outputs=gr.Textbox(label="Risposta", lines=15),
    title="Il mio Agente CodeAgent",
    description="Agente con Qwen2.5 Coder e tool personalizzati (tempo, immagini, ecc.)"
)

# Lancia l'interfaccia (share=False è automatico su Spaces)
demo.launch()