app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool,OpenAIServerModel
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(city:str,city_lat:float, city_lon:float)-> 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 for querying the weather of a specified city.
    Args:
        city: the city name
        city_lat: the city latitude
        city_lon: the city longitude
    """

    url = f"https://api.open-meteo.com/v1/forecast?latitude={city_lat}&longitude={city_lon}&current_weather=true"
    response = requests.get(url)
    data = response.json()
    
    try:
        weather = data["current_weather"]
        return f"{city}的天气如下：温度: {weather['temperature']}°C, 风速: {weather['windspeed']} km/h, 天气情况: {weather['weathercode']}"
    except Exception as e:
        return "无法获取天气数据"

@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 = OpenAIServerModel(
# model_id="deepseek-chat",
# api_base="https://api.deepseek.com",
# api_key="sk-1e86e73953e941068e46988d1563b6e6",
# max_tokens=2096,
# temperature=0.5
# )
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=[my_custom_tool,image_generation_tool,get_current_time_in_timezone,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()