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

from transformers import pipeline
from typing import Optional
# Below is an example of a tool that does nothing. Amaze us with your creativity !


@tool
def text_translator(
    text: str, 
    target_lang: Optional[str] = "auto"
) -> str:
    """智能中英互译工具
    Args:
        text: 待翻译文本（自动检测源语言）
        target_lang: 目标语言代码（zh/en/ja等，默认自动判断）
    """
    try:
        is_chinese = any('\u4e00' <= char <= '\u9fff' for char in text)
        src_lang = "zh" if is_chinese else "en"
        tgt_lang = "en" if is_chinese else "zh" if target_lang == "auto" else target_lang
        
        model_name = "Helsinki-NLP/opus-mt-zh-en" if src_lang == "zh" else "Helsinki-NLP/opus-mt-en-zh"
        translator = pipeline("translation", model=model_name)

        result = translator(text, max_length=512)[0]['translation_text']
        
        return f"翻译结果 ({src_lang}→{tgt_lang}):\n{result}"
    
    except Exception as e:
        return f"翻译失败：{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=[final_answer, text_translator], ## 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()