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

@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_air_quality(location: str) -> str:
    """
    A tool that fetches air quality data for a specified location.
    Args:
        location: A string representing the city or coordinates (e.g., 'London' or '51.5074,-0.1278').
    """
    api_key = 'eeb403b6-5b68-488e-92e6-2a49d0bc6a5c'  # API IQAir
    url = f'http://api.airvisual.com/v2/nearest_city?key={api_key}'

    try:
        response = requests.get(url)
        data = response.json()

        # Izvlechenie dannyh o kachestve
        air_quality = data['list'][0]['main']['aqi']
        return f"The air quality index in {location} is: {air_quality}"
    except Exception as e:
        return f"Error fetching air quality data for {location}: {str(e)}"

final_answer = FinalAnswerTool()
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions='AI Assistant',
)

# dobavlen tool
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, get_air_quality, get_current_time_in_timezone],  # VOT TUT DOBAVIL
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch(share=True)