from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel, load_tool, tool  # FIX 1: HfApiModel → InferenceClientModel
import os 
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI


@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """Fetches the current local time in a specified timezone.
    Args:
        timezone: A valid timezone string, e.g. 'Asia/Kolkata' or 'America/New_York'.
    """
    try:
        tz = pytz.timezone(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_fun_fact(topic: str) -> str:
    """Returns a fun fact about a given topic using a public API.
    Args:
        topic: The subject to get a fun fact about, e.g. 'math', 'science'.
    """
    try:
        response = requests.get(
            "https://uselessfacts.jsph.pl/api/v2/facts/random?language=en",
            timeout=5
        )
        data = response.json()
        return f"Fun fact about {topic}: {data.get('text', 'No fact found.')}"
    except Exception as e:
        return f"Error fetching fun fact: {str(e)}"


final_answer = FinalAnswerTool()  # FIX 2: was "ffinal_answer" (typo)
search_tool = DuckDuckGoSearchTool()
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

model = InferenceClientModel(      # FIX 3: works now because FIX 1 imported it
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    token=os.environ.get("HF_TOKEN"),
    custom_role_conversions=None,
)

agent = CodeAgent(
    model=model,
    tools=[
        final_answer,               # FIX 2 cascades here — name now matches
        search_tool,
        image_generation_tool,
        get_current_time_in_timezone,
        get_fun_fact,
    ],
    max_steps=6,
    verbosity_level=1,
    planning_interval=None,
    name=None,
    description=None,
)

GradioUI(agent).launch()