app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel, load_tool,tool
from collections import defaultdict
from random import randint
import datetime

import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

@tool
def pick_song(mood: str) -> 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 that returns a youtube song URL based on the user's mood. 
    Args:
        mood: the user's current mood
    """
    song_dict = defaultdict(
        lambda: ["https://youtu.be/dQw4w9WgXcQ?feature=shared"],
        {
            "happy" : ["https://youtu.be/ZbZSe6N_BXs?feature=shared", "https://youtu.be/ru0K8uYEZWw?feature=shared", "https://youtu.be/09R8_2nJtjg?feature=shared"],
            "sad" : ["https://youtu.be/TdrL3QxjyVw?feature=shared", "https://youtu.be/S9bCLPwzSC0?feature=shared"],
            "angry" : ["https://youtu.be/l3RsOxKHr6k?feature=shared", "https://youtu.be/5x3PuvsHpNY?feature=shared", "https://youtu.be/MjwttGizNEs?feature=shared"]        
        }
    )
    url_list = song_dict[mood]
    
    return url_list[randint(0, len(url_list) - 1)]

@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)}"

private_search_tool = DuckDuckGoSearchTool()
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=[get_current_time_in_timezone, private_search_tool, image_generation_tool, 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()