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 get_time_with_context(timezone: str) -> 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
    """fetches the current local time in a specified timezone and provides a contextual message.
    
    Arguments:
        timezone: (str): A valid timezone string (e.g., 'America/New_York', 'Asia/Tokyo').
        
    Returns: 
        str: A string with the current time and contextual greeting message.
    """
    try:
        # Validate timezone
        if timezone not in pytz.all_timezones:
            return f"⚠️ Error: '{timezone}' is not a recognized timezone. Please provide a valid timezone."

        tz = pytz.timezone(timezone)
        local_time = datetime.datetime.now(tz)
        formatted_time = local_time.strftime("%Y-%m-%d %H:%M:%S")

        # Determine time of day for a friendly greeting
        hour = local_time.hour
        if 5 <= hour < 12:
            greeting = "Good morning! 🌅"
        elif 12 <= hour < 18:
            greeting = "Good afternoon! ☀️"
        elif 18 <= hour < 22:
            greeting = "Good evening! 🌆"
        else:
            greeting = "Good night! 🌙"
        return f"{greeting} The current local time in {timezone} is {formatted_time}."
    
    except Exception as e:
        return f"⚠️ Unexpected Error: {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='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# 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
)


GradioUI(agent).launch()