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

# Below is an example of a creative tool that generates emojis based on mood
@tool
def my_custom_tool(mood: str) -> str: # it's important to specify the return type
    """A tool that returns a fun emoji sequence based on the given mood.
    Args:
        mood: A mood like 'happy', 'sad', 'angry', or 'love'.
    """
    emoji_dict = {
        "happy": "😊🎉🌈✨😄",
        "sad": "😢🌧️💔😭🕯️",
        "angry": "😠🔥💢👿⚡",
        "love": "😍❤️💌💘😘",
        "tired": "😴💤☕😩🛌",
        "excited": "🤩🚀🎊🥳💥",
    }
    return f"Mood: {mood}\nEmojis: {emoji_dict.get(mood.lower(), '🤖❓ Unknown mood ❓🤖')}"

@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='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, my_custom_tool, get_current_time_in_timezone, image_generation_tool],  # all tools listed
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()