Enhancement: Support changing voice modules

[vp2305]

Made the following changes:

• Modified _synthesize_ids_to_raw to fetch necessary parameters from the model config file.
• Updated glados_config.yml to specify voice module and speaker id to use
• Modified glados.py to utilize sample rate based on selected model

Summary by CodeRabbit

Summary by CodeRabbit

• New Features

  • Added a voice_model setting to customize the voice model used in the app.
  • Introduced a PiperConfig data class for managing configuration settings.

• Improvements

  • Enhanced synthesizer performance by optimizing configuration handling.
  • Improved token processing for more natural speech synthesis.

• Configuration

  • Updated configuration file with additional settings and comments for clarity.

[coderabbitai[bot]]

Walkthrough

The changes primarily refactor how configuration settings are managed in the Glados and Synthesizer classes. A new PiperConfig data class is introduced to handle configuration settings. The Glados class now takes a voice_model parameter, allowing more flexible and dynamic handling of voice synthesis models. The Synthesizer class is updated to load configurations from a JSON file and handle speaker IDs from the configuration.

Changes

File	Summary
glados.py	Refactored to use voice_model parameter in GladosConfig and Glados classes. Added methods for initialization from the configuration.
glados/config.py	Introduced new PiperConfig data class and PhonemeType enum class. Added a static from_dict method in PiperConfig.
glados/tts.py	Added PiperConfig data class. Updated Synthesizer class to handle JSON configuration and speaker ID.
glados_config.yml	Added new settings: voice_model, speaker_id, and modified interruptible.

Poem

In the realm of code so bright, Glados' voice takes flight. Configs now with more finesse, Each change aims to impress. A voice model, clear and right, Speaks with a tone, just the might! 🌟

---

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share

• X
• Mastodon
• Reddit
• LinkedIn

Tips

Chat

There are 3 ways to chat with CodeRabbit:

• Review comments: Directly reply to a review comment made by CodeRabbit. Example:
  • I pushed a fix in commit <commit_id>.
  • Generate unit testing code for this file.
  • Open a follow-up GitHub issue for this discussion.
• Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
  • @coderabbitai generate unit testing code for this file.
  • @coderabbitai modularize this function.
• PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
  • @coderabbitai generate interesting stats about this repository and render them as a table.
  • @coderabbitai show all the console.log statements in this repository.
  • @coderabbitai read src/utils.ts and generate unit testing code.
  • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
  • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (invoked as PR comments)

• @coderabbitai pause to pause the reviews on a PR.
• @coderabbitai resume to resume the paused reviews.
• @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
• @coderabbitai full review to do a full review from scratch and review all the files again.
• @coderabbitai summary to regenerate the summary of the PR.
• @coderabbitai resolve resolve all the CodeRabbit review comments.
• @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
• @coderabbitai help to get help.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

CodeRabbit Configration File (.coderabbit.yaml)

• You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
• Please see the configuration documentation for more information.
• If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

• Visit our Documentation for detailed information on how to use CodeRabbit.
• Join our Discord Community to get help, request features, and share feedback.
• Follow us on X/Twitter for updates and announcements.

[dnhkng]

I'm on holiday 2 week now, without my workstation, so I wont be able to test the new code properly (maybe on my macbook, but its a bit slow...).

Sorry if this delays the PR.