app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
import os
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

@tool
def my_cutom_tool(arg1: str, arg2: int) -> str:
    """A tool that does nothing yet 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build ?"

@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').
    
    Returns:
        A string stating the current local time in the specified timezone.
    """
    try:
        tz = pytz.timezone(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)}"

# --- Helper functions for Spotify and environmental data ---

def fetch_spotify_access_token():
    url = "https://accounts.spotify.com/api/token"
    headers = {"Content-Type": "application/x-www-form-urlencoded"}
    data = {
        "grant_type": "client_credentials",
        "client_id": os.getenv("SPOTIFY_CLIENT_ID"),
        "client_secret": os.getenv("SPOTIFY_CLIENT_SECRET")
    }
    response = requests.post(url, headers=headers, data=data)
    return response.json().get("access_token")

def fetch_user_location_data():
    url = "http://ip-api.com/json/"
    response = requests.get(url)
    if response.status_code == 200:
        data = response.json()
        return data.get("city"), data.get("country"), data.get("timezone")
    return None, None, None

def fetch_weather_for_city(city: str):
    WEATHER_API_KEY = os.getenv("WEATHER_API_KEY")
    url = f"https://api.openweathermap.org/data/2.5/weather?q={city}&appid={WEATHER_API_KEY}&units=metric"
    response = requests.get(url)
    if response.status_code == 200:
        data = response.json()
        return data["weather"][0]["main"]
    return None

def map_mood_to_params(mood: str, weather_condition: str = None) -> dict:
    # Base mapping of mood words to Spotify's target parameters and seed genre
    default_mappings = {
        "happy": {"target_valence": 0.9, "target_energy": 0.8, "seed_genre": "pop"},
        "sad": {"target_valence": 0.2, "target_energy": 0.3, "seed_genre": "acoustic"},
        "energetic": {"target_valence": 0.7, "target_energy": 0.9, "seed_genre": "work-out"},
        "chill": {"target_valence": 0.6, "target_energy": 0.4, "seed_genre": "chill"}
    }
    mapping = default_mappings.get(mood.lower(), {"target_valence": 0.5, "target_energy": 0.5, "seed_genre": "pop"})
    
    # Adjust parameters based on weather conditions if provided
    if weather_condition:
        weather = weather_condition.lower()
        if weather in ["rain", "thunderstorm"]:
            mapping["target_energy"] = max(mapping["target_energy"] - 0.2, 0.0)
        elif weather in ["clear"]:
            mapping["target_energy"] = min(mapping["target_energy"] + 0.1, 1.0)
    return mapping

# --- Environmental Tools ---

@tool
def get_user_location() -> str:
    """Fetches the user's location using ip-api.com.
    
    Returns:
        A string containing the city, country, and timezone, or an error message.
    """
    city, country, timezone = fetch_user_location_data()
    if city and country and timezone:
        return f"City: {city}, Country: {country}, Timezone: {timezone}"
    return "Error fetching location."

@tool
def get_weather(city: str) -> str:
    """Fetches weather data for a given city using OpenWeatherMap API.
    
    Args:
        city: The name of the city.
    
    Returns:
        A string describing the current weather in the specified city, or an error message.
    """
    weather = fetch_weather_for_city(city)
    if weather:
        return f"Current weather in {city} is {weather}."
    return "Error fetching weather data."

@tool
def get_songs_by_mood(mood: str, local: bool = False) -> str:
    """Fetches a playlist of songs that fits the user's mood using Spotify's Recommendations API.
    
    Args:
        mood: A string representing the desired mood (e.g., "happy", "sad", "energetic", "chill").
        local: A boolean flag. If True, the tool fetches the user's location and current weather 
               to adjust the mood mapping accordingly.
    
    Returns:
        A string containing a playlist of songs (each on a new line) that matches the mood parameters.
    
    Additional Details:
        Mood is expressed in terms of target_valence and target_energy (energy replaces arousal).
        The tool internally maps mood words to corresponding Spotify parameters. For example:
          - "happy": target_valence ~ 0.9, target_energy ~ 0.8, seed_genre "pop"
          - "sad": target_valence ~ 0.2, target_energy ~ 0.3, seed_genre "acoustic"
          - "energetic": target_valence ~ 0.7, target_energy ~ 0.9, seed_genre "work-out"
          - "chill": target_valence ~ 0.6, target_energy ~ 0.4, seed_genre "chill"
          
        If 'local' is True, the tool uses the user's location and weather to adjust the mapping
        (e.g., reducing energy on rainy days).
    """
    weather_condition = None
    if local:
        city, country, timezone = fetch_user_location_data()
        if not city:
            return "Error: Unable to determine user location."
        weather_condition = fetch_weather_for_city(city)
    
    mapping = map_mood_to_params(mood, weather_condition)
    
    access_token = fetch_spotify_access_token()
    if not access_token:
        return "Error: Unable to retrieve Spotify access token."
    
    params = {
        "seed_genres": mapping["seed_genre"],
        "target_valence": mapping["target_valence"],
        "target_energy": mapping["target_energy"],
        "limit": 10
    }
    url = "https://api.spotify.com/v1/recommendations"
    headers = {"Authorization": f"Bearer {access_token}"}
    response = requests.get(url, headers=headers, params=params)
    
    if response.status_code == 200:
        tracks = response.json().get("tracks", [])
        if not tracks:
            return "No tracks found for the specified mood."
        playlist = [f"{track['name']} - {track['artists'][0]['name']}" for track in tracks]
        return "\n".join(playlist)
    return f"Error: {response.json()}"

final_answer = FinalAnswerTool()
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',
    custom_role_conversions=None,
)

# Patch: Ensure last_input_token_count is initialized to 0 if not already set.
if model.last_input_token_count is None:
    model.last_input_token_count = 0

# 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_cutom_tool,
        get_current_time_in_timezone,
        get_user_location,
        get_weather,
        get_songs_by_mood
    ],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()