app.py

from smolagents import  CodeAgent,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 get_weather(city: str) -> str:
    """
    Fetches weather data for a given city using wttr.in and returns it as a formatted string.
    Args: 
         City: A string representing valid city name.
    Returns:
        str: Weather details including condition, temperature, humidity, and wind speed.
    """
    url = f"https://wttr.in/{city}?format=%C+%t+%h+%w"
    
    try:
        response = requests.get(url)
        if response.status_code == 200:
            weather_data = response.text.strip().split()
            if len(weather_data) == 4:
                condition, temp, humidity, wind = weather_data
                return f"Weather in {city}: Condition: {condition}, Temperature: {temp}, Humidity: {humidity}, Wind Speed: {wind}"
            else:
                return "Error: Unexpected weather data format."
        else:
            return f"Error: Unable to fetch weather data. Status code: {response.status_code}"
    except Exception as e:
        return f"Error: {e}"

final_answer = FinalAnswerTool()

@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='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)

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()