RadioTTS lets you generate audio tracks with TTS introductions, directly from their file names!
Hi there,
Here is my latest project RadioTTS!
RadioTTS is a tool enabling you to add Text To Speech (TTS) introductions to your favorite songs using the very lifelike voices of gTTS (Google Text-to-Speech), with multilingual support! You can generate entire playlists with song introductions and also more in-depth song or artist descriptions, all of which are generated using gTTS. What you get out of this are actual mp3 files, each of which are prefixed with a track number that lets you listen to them in sequence, with the option of shuffling your tracks for you!
The following video is an example of an audio track with a standard introduction, followed by a more detailed description of Beethoven's Moonlight Sonata.
You can try it out by visiting the github: https://github.com/LPBeaulieu/RadioTTS
#project #github
https://reddit.com/link/144j9xo/video/edudpi6dnu4b1/player
/r/Python
https://redd.it/144j9xo
Hi there,
Here is my latest project RadioTTS!
RadioTTS is a tool enabling you to add Text To Speech (TTS) introductions to your favorite songs using the very lifelike voices of gTTS (Google Text-to-Speech), with multilingual support! You can generate entire playlists with song introductions and also more in-depth song or artist descriptions, all of which are generated using gTTS. What you get out of this are actual mp3 files, each of which are prefixed with a track number that lets you listen to them in sequence, with the option of shuffling your tracks for you!
The following video is an example of an audio track with a standard introduction, followed by a more detailed description of Beethoven's Moonlight Sonata.
You can try it out by visiting the github: https://github.com/LPBeaulieu/RadioTTS
#project #github
https://reddit.com/link/144j9xo/video/edudpi6dnu4b1/player
/r/Python
https://redd.it/144j9xo
GitHub
GitHub - LPBeaulieu/RadioTTS: RadioTTS lets you generate audio tracks with TTS introductions, directly from their file names!
RadioTTS lets you generate audio tracks with TTS introductions, directly from their file names! - GitHub - LPBeaulieu/RadioTTS: RadioTTS lets you generate audio tracks with TTS introductions, direc...
FastStream: a powerful and easy-to-use library for building asynchronous services with event streams such as ApacheKafka and RabbitMQ
**FastStream** simplifies the process of writing producers and consumers for message queues, handling all the parsing, networking and documentation generation automatically. It is a new package based on the ideas and experiences gained from **FastKafka** and **Propan**. By joining our forces, we picked up the best from both packages and created a unified way to write services capable of processing streamed data regardless of the underlying protocol. We'll continue to maintain both packages, but new development will be in this project.
Making streaming microservices has never been easier. Designed with junior developers in mind, **FastStream** simplifies your work while keeping the door open for more advanced use cases. Here's a look at the core features that make **FastStream** a go-to framework for modern, data-centric microservices.
Multiple Brokers: FastStream provides a unified API to work across multiple message brokers (Apache Kafka, RabbitMQ support)
**Pydantic Validation**: Leverage **Pydantic's** validation capabilities to serialize and validate incoming messages
[Automatic Docs](https://github.com/airtai/faststream#project-documentation): Stay ahead with automatic [AsyncAPI](https://www.asyncapi.com/) documentation
Intuitive: Full-typed editor support makes your development experience smooth, catching errors before they reach runtime
[Powerful Dependency Injection System](https://github.com/airtai/faststream#dependencies): Manage your service dependencies efficiently with FastStream's built-in DI system
**Testable**: Supports in-memory tests, making your CI/CD pipeline faster and
/r/Python
https://redd.it/16pc38l
**FastStream** simplifies the process of writing producers and consumers for message queues, handling all the parsing, networking and documentation generation automatically. It is a new package based on the ideas and experiences gained from **FastKafka** and **Propan**. By joining our forces, we picked up the best from both packages and created a unified way to write services capable of processing streamed data regardless of the underlying protocol. We'll continue to maintain both packages, but new development will be in this project.
Making streaming microservices has never been easier. Designed with junior developers in mind, **FastStream** simplifies your work while keeping the door open for more advanced use cases. Here's a look at the core features that make **FastStream** a go-to framework for modern, data-centric microservices.
Multiple Brokers: FastStream provides a unified API to work across multiple message brokers (Apache Kafka, RabbitMQ support)
**Pydantic Validation**: Leverage **Pydantic's** validation capabilities to serialize and validate incoming messages
[Automatic Docs](https://github.com/airtai/faststream#project-documentation): Stay ahead with automatic [AsyncAPI](https://www.asyncapi.com/) documentation
Intuitive: Full-typed editor support makes your development experience smooth, catching errors before they reach runtime
[Powerful Dependency Injection System](https://github.com/airtai/faststream#dependencies): Manage your service dependencies efficiently with FastStream's built-in DI system
**Testable**: Supports in-memory tests, making your CI/CD pipeline faster and
/r/Python
https://redd.it/16pc38l