search

suryanshsk / Python-Voice-Assistant-Suryanshsk

A Python-based virtual assistant using Gemini AI. Features include voice recognition, text-to-speech, weather updates, news retrieval, jokes, Wikipedia info, and music management. Comes with an interactive web interface. Easily extendable and customizable.
MIT License
40 stars 109 forks source link

Enhancement of Song Data Storage and Access #1

Open GCJ0310 opened 1 month ago

GCJ0310 commented 1 month ago

The current song_data.py stores songs in a simple dictionary with only song names and YouTube links. To improve functionality, I propose expanding the song data to include details like artist, genre, mood, and duration, which would support more sophisticated features such as filtering and recommendations. Additionally, moving this data to an external JSON or CSV file would enhance scalability and ease of management. Implementing search functions and caching with functools.lru_cache will improve data retrieval efficiency. Lastly, adding documentation and type hints will enhance code readability and maintainability. Feedback on this enhancement is welcome, particularly regarding additional metadata or structure.

SatyamSingh8306 commented 1 month ago

can you assign me this isssue i want to work on it as gssoc contributor.

suryanshsk commented 1 month ago

Hi

Thank you for your thoughtful proposal regarding the enhancement of song_data.py. I agree that expanding the song metadata to include additional details like artist, genre, mood, and duration would significantly improve functionality, especially for filtering and recommendations. Moving the data to a JSON or CSV file is also a great idea for scalability.

You're welcome to work on this issue as a GSSoC contributor! Please proceed with the following steps:

  1. Expand the song data structure to include the new metadata fields.
  2. Move the data to an external JSON or CSV file for ease of management.
  3. Implement search and filtering functions, with caching using functools.lru_cache to improve retrieval efficiency.
  4. Ensure type hints and documentation are added to enhance readability and maintainability.
  5. Create a detailed PR, outlining all the changes and improvements.

Let me know if you need any further guidance or clarification. Looking forward to seeing your implementation!

Best regards, Avanish Singh Project Admin, GSSoC

On Tue, 1 Oct, 2024, 8:43 pm Satyam Singh, @.***> wrote:

can you assign me this isssue i want to work on it as gssoc contributor.

— Reply to this email directly, view it on GitHub https://github.com/suryanshsk/Python-Voice-Assistant-Suryanshsk/issues/1#issuecomment-2386281544, or unsubscribe https://github.com/notifications/unsubscribe-auth/AVBBZFL2ZMYSDN4CLDYOQQTZZK3ZDAVCNFSM6AAAAABPFT2LOKVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDGOBWGI4DCNJUGQ . You are receiving this because you are subscribed to this thread.Message ID: <suryanshsk/Python-Voice-Assistant-Suryanshsk/issues/1/2386281544@ github.com>

suryanshsk commented 1 month ago

Hi

Thank you for your thoughtful proposal regarding the enhancement of song_data.py. I agree that expanding the song metadata to include additional details like artist, genre, mood, and duration would significantly improve functionality, especially for filtering and recommendations. Moving the data to a JSON or CSV file is also a great idea for scalability.

You're welcome to work on this issue as a GSSoC contributor! Please proceed with the following steps:

  1. Expand the song data structure to include the new metadata fields.
  2. Move the data to an external JSON or CSV file for ease of management.
  3. Implement search and filtering functions, with caching using functools.lru_cache to improve retrieval efficiency.
  4. Ensure type hints and documentation are added to enhance readability and maintainability.
  5. Create a detailed PR, outlining all the changes and improvements.

Let me know if you need any further guidance or clarification. Looking forward to seeing your implementation!

Best regards, Avanish Singh Project Admin, GSSoC

On Tue, 1 Oct, 2024, 7:14 pm GCJ0310, @.***> wrote:

The current song_data.py stores songs in a simple dictionary with only song names and YouTube links. To improve functionality, I propose expanding the song data to include details like artist, genre, mood, and duration, which would support more sophisticated features such as filtering and recommendations. Additionally, moving this data to an external JSON or CSV file would enhance scalability and ease of management. Implementing search functions and caching with functools.lru_cache will improve data retrieval efficiency. Lastly, adding documentation and type hints will enhance code readability and maintainability. Feedback on this enhancement is welcome, particularly regarding additional metadata or structure.

— Reply to this email directly, view it on GitHub https://github.com/suryanshsk/Python-Voice-Assistant-Suryanshsk/issues/1, or unsubscribe https://github.com/notifications/unsubscribe-auth/AVBBZFNEMWOGZPPNDON2BJTZZKRK7AVCNFSM6AAAAABPFT2LOKVHI2DSMVQWIX3LMV43ASLTON2WKOZSGU2TSMRZGU4TAOI . You are receiving this because you are subscribed to this thread.Message ID: @.***>