Spaces:
Sleeping
Sleeping
music recommendation app
Browse files
app.py
CHANGED
@@ -1,6 +1,6 @@
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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from duckduckgo_search import DDGS
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from typing import
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import time
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import requests
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import pytz
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@@ -15,50 +15,52 @@ from Gradio_UI import GradioUI
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@tool
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def
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"""A tool that
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Args:
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"""
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try:
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formatted_results += f"{i}. {result['title']}\n"
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formatted_results += f" {result['link']}\n"
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formatted_results += f" {result['body']}\n\n"
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return formatted_results
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except Exception as e:
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return f"Error performing search: {str(e)}"
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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Args:
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timezone: A string representing a valid timezone (e.g., 'America/New_York').
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"""
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try:
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# Create timezone object
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tz = pytz.timezone(timezone)
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# Get current time in that timezone
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local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
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return f"The current local time in {timezone} is: {local_time}"
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except Exception as e:
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return f"Error
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final_answer = FinalAnswerTool()
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@@ -82,7 +84,7 @@ with open("prompts.yaml", 'r') as stream:
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agent = CodeAgent(
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model=model,
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tools=[final_answer,
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
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from duckduckgo_search import DDGS
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from typing import Optional
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import time
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import requests
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import pytz
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@tool
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def get_similar_songs(song_title: str, artist_name: str, num_recommendations: int = 5) -> str:
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"""A tool that suggests similar songs based on a given song and artist.
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Args:
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song_title: Name of the song
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artist_name: Name of the artist
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num_recommendations: Number of similar songs to return (default: 5)
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"""
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# LastFM API endpoint and parameters
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API_KEY = "d17717e179b91347018a13452956c8a0" # Replace with your LastFM API key
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BASE_URL = "http://ws.audioscrobbler.com/2.0/"
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# Get similar tracks
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params = {
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"method": "track.getsimilar",
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"artist": artist_name,
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"track": song_title,
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"api_key": API_KEY,
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"format": "json",
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"limit": num_recommendations
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}
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response = requests.get(BASE_URL, params=params)
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data = response.json()
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# Check if we got valid results
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if "similartracks" not in data or "track" not in data["similartracks"]:
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return f"No similar songs found for '{song_title}' by {artist_name}. Please check the song and artist names."
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# Format the recommendations
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similar_tracks = data["similartracks"]["track"]
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result = f"Similar songs to '{song_title}' by {artist_name}:\n\n"
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for i, track in enumerate(similar_tracks, 1):
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result += f"{i}. \"{track['name']}\" by {track['artist']['name']}\n"
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result += f" Match score: {float(track['match'])*100:.1f}%\n"
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if 'playcount' in track:
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result += f" Playcount: {track['playcount']:,}\n"
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result += "\n"
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return result
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except Exception as e:
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return f"Error finding similar songs: {str(e)}"
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final_answer = FinalAnswerTool()
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agent = CodeAgent(
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model=model,
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tools=[final_answer, get_similar_songs], ## add your tools here (don't remove final answer)
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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