from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer

from Gradio_UI import GradioUI

from langdetect import detect
import requests
from smolagents import tool

model_name = "facebook/m2m100_418M"
tokenizer = M2M100Tokenizer.from_pretrained(model_name)
translation_model = M2M100ForConditionalGeneration.from_pretrained(model_name)


@tool
def agent_translate(text: str, detected_lang: str) -> str:
    """A tool that translate text with next logic:
        1) If text starts with 'pl:', translate the rest to Polish.
        2) If detected language == 'ru', translate to English.
        3) Else translate to Russian.
        and return translated text
    Args:
        text: text in russian/english or polish languages.
        detected_lang: detected language of the text
    """
    if text.startswith("pl:"):
        original = text[3:].strip()
        target_lang = "PL"
    else:
        if detected_lang.lower() == "ru":
            target_lang = "EN"
            original = text
        else:
            target_lang = "RU"
            original = text

    try:
        inputs = tokenizer(original, return_tensors="pt")

        forced_bos_token_id = tokenizer.get_lang_id(target_lang.lower())

        generated_tokens = translation_model.generate(
            **inputs,
            forced_bos_token_id=forced_bos_token_id
        )

        translated_text = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0]
        return translated_text
    except Exception as e:
        return f"Error during translating: { 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=[agent_translate, final_answer],  ## add your tools here (don't remove final answer)
    max_steps=3,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()