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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 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)}"


@tool
def generate_ascii_art(prompt: str, input_type: str = "text") -> str:
    """根据文本或图像生成ASCII图形
    Args:
        prompt: 文本内容或图片路径/URL
        input_type: 输入类型,可选'text'或'image'
    """
    try:
        if input_type == "text":
            # 使用FIGlet生成文本ASCII艺术(文献3)
            from pyfiglet import Figlet
            custom_fig = Figlet(font='standard')
            return f"文本ASCII艺术:\n{custom_fig.renderText(prompt)}"
            
        elif input_type == "image":
            # 使用ascii-image-converter转换图像(文献5)
            from ascii_image_converter import convert_image
            result = convert_image(prompt, char_width=100)
            return f"图像ASCII艺术:\n{result}"
            
        return "错误:无效的输入类型,支持'text'或'image'"
        
    except ImportError as e:
        return f"错误:缺少依赖库,请安装 {e.name}"
    except Exception as e:
        return f"生成失败:{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
)


GradioUI(agent).launch()