app.py

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
import os

# 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
    """A tool that generates text based on the provided arguments.
    Args:
        arg1: A string input to guide the generation.
        arg2: An integer input to specify the type of generation (1 for detailed description, 2 for summary).
    """
    if arg2 == 1:
        # Generate detailed description using LLM
        prompt = f"Generate a detailed description based on the following input: {arg1}"
        response = model.generate(prompt)
        return response['choices'][0]['text']
    elif arg2 == 2:
        # Generate summary using LLM
        prompt = f"Generate a summary based on the following input: {arg1}"
        response = model.generate(prompt)
        return response['choices'][0]['text']
    else:
        return "Invalid argument for arg2. Use 1 for detailed description and 2 for summary."

@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 get_weather(city: str) -> str:
    """A tool that fetches the current weather for a specified city.
    Args:
        city: The name of the city to get the weather for.
    """
    api_key = "c46c960cf2d8dd517715b8ff14818d7e"  # Replace with your actual OpenWeather API key
    url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}&units=metric"
    
    try:
        response = requests.get(url)
        data = response.json()
        
        if response.status_code == 200:
            weather_description = data['weather'][0]['description']
            temperature = data['main']['temp']
            return f"The current weather in {city} is {weather_description} with a temperature of {temperature}°C."
        else:
            return f"Error fetching weather for city '{city}': {data['message']}"
    except Exception as e:
        return f"Error fetching weather for city '{city}': {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_id='Qwen/Qwen2.5-Coder-32B-Instruct'

model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',# 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, use_auth_token=os.getenv("HF_TOKEN"))

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, get_weather, my_custom_tool], ## 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()