app.py

from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
from duckduckgo_search import DDGS
from typing import Optional
import time
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
import pandas as pd
from datetime import datetime, timedelta

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !


@tool
def get_similar_songs(song_title: str, artist_name: str, num_recommendations: int = 5) -> str:
    """A tool that suggests similar songs based on a given song and artist.
    
    Args:
        song_title: Name of the song
        artist_name: Name of the artist
        num_recommendations: Number of similar songs to return (default: 5)
    """
    # LastFM API endpoint and parameters
    API_KEY = "d17717e179b91347018a13452956c8a0"  # Replace with your LastFM API key
    BASE_URL = "http://ws.audioscrobbler.com/2.0/"
    
    try:
        # Get similar tracks
        params = {
            "method": "track.getsimilar",
            "artist": artist_name,
            "track": song_title,
            "api_key": API_KEY,
            "format": "json",
            "limit": num_recommendations
        }
        
        response = requests.get(BASE_URL, params=params)
        data = response.json()
        
        # Check if we got valid results
        if "similartracks" not in data or "track" not in data["similartracks"]:
            return f"No similar songs found for '{song_title}' by {artist_name}. Please check the song and artist names."
        
        # Format the recommendations
        similar_tracks = data["similartracks"]["track"]
        
        result = f"Similar songs to '{song_title}' by {artist_name}:\n\n"
        
        for i, track in enumerate(similar_tracks, 1):
            result += f"{i}. \"{track['name']}\" by {track['artist']['name']}\n"
            result += f"   Match score: {float(track['match'])*100:.1f}%\n"
            if 'playcount' in track:
                result += f"   Playcount: {track['playcount']:,}\n"
            result += "\n"
            
        return result

    except Exception as e:
        return f"Error finding similar songs: {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, get_similar_songs], ## 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()