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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
import random
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 my_custom_tool(arg1:str, arg2:int)-> 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 does nothing yet
Args:
arg1: the first argument
arg2: the second argument
"""
return "What magic will you build ?"
@tool
def define_mood(mood: str) -> str:
"""A tool that matches user's mood to a predefined mood category. If it is non-english, it should be translated into English first.
Args:
mood: mood expressed by the user.
"""
pre_mood = {
"happy":["happy", "joyful", "cheerful", "delighted", "pleased", "merry"],
"excited": ["excited", "enthusiastic", "energetic", "hyped"],
"sad": ["sad", "unhappy", "sorrowful", "gloomy", "down", "blue", "melancholic", "heartbroken", "low", "upset", "annoyed"],
"depressed": ["depressed", "miserable", "hopeless", "lonely", "broken", "devastated"],
"exhausted": ["tired", "exhausted", "sleepy", "drowsy", "fatigued", "drained", "weary", "worn out"]
}
for category, feelings in pre_mood.items():
for feeling in feelings:
if feeling in mood.lower():
return category
return "just_okay"
@tool
def recommend_songs(defined_mood: str) -> str:
"""A tool that recommends songs based on the user's mapped mood category.
Args:
defined_mood: The categorized mood returned from define_mood() function (e.g., 'happy', 'excited', 'sad', 'depressed', 'exhausted')
"""
songs = {
"happy": [
"Floating (feat. Khalid) [filous Remix] (by Alina Baraz) "
"Waves (by Glen Check)",
"Hype Boy (by NewJeans)",
"Bubble Gum (by NewJeans)",
"Is It Ever Gonna Make Sense (by Budjerah)",
],
"excited": [
"Island Island (by Bye Bye Badman)",
"Hello Future (by NCT DREAM)",
"APT. (by ROSÉ)"
"Attention (by NewJeans)",
"Paint It Gold (by Glen Check)",
"365247 (by DAY6)"
],
"sad": [
"Number one girl (by ROSÉ)",
"Call it the end (by ROSÉ)",
"Toxic till the end (by ROSÉ)",
"ex i never had (by LANY)",
"The Rainy Night (by NCT 127)"
],
"depressed": [
"Let's! (by Hoppipolla)",
"Juice (by Lizzo)",
"Bye bye my blue (by Yerin Baek)",
"너와의 모든 지금 (by JAESSBEE)",
"Rose Blossom (by H1-KEY)"
"Better Days (by NEIKED, Mae Muller, Polo G)"
],
"exhausted": [
"Shoot me (by DAY6)",
"Melt down (by DAY6)",
"Welcome to the Show (by DAY6)",
"Love me or leave me (by DAY6)",
"HandClap (by Fitz and The Tantrums)",
"Runaway baby (by Bruno Mars)",
"The nights (by avicii)",
"Hello! emart (by emart)"
],
"just_okay": [
"Love Lee (by AKMU)",
"Love Parade (by DAY6)",
"Dynamite (by BTS)",
"permission to dance (by BTS)"
]
}
try:
if defined_mood in songs:
return f"Why don't you listen to '{random.choice(songs[defined_mood])}' today?"
else:
return "Here's the most highly ranked song in spotify. 'APT. (w/ Bruno Mars) (by ROSÉ)'"
except Exception as e:
return f"Error finding right songs for '{defined_mood}' 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=[define_mood, recommend_songs, 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()