Realtimetts

- upgrade to use the latest libraries of all TTS provider engines
- added some parameters to play method:
`context_size_look_overhead` (int)
- **Default**: `12`
- **Description**: Additional context size for looking ahead when detecting sentence boundaries.
`fast_sentence_fragment_allsentences` (bool)
- **Default**: `False`
- **Description**: When set to `True`, applies the fast sentence fragment processing to all sentences, not just the first one.
`fast_sentence_fragment_allsentences_multiple` (bool)
- **Default**: `False`
- **Description**: When set to `True`, allows yielding multiple sentence fragments instead of just a single one.

Added:

`tokenize_sentences` (callable)
- **Default**: `None`
- **Description**: A custom function that tokenizes sentences from the input text. You can provide your own lightweight tokenizer if you are unhappy with nltk and stanza. It should take text as a string and return split sentences as a list of strings.

and

`before_sentence_synthesized` (callable)
- **Default**: `None`
- **Description**: Callback function that gets called before a single sentence fragment gets synthesized.

Merged PR 109 (async server to serve multiple requests in parallel, thx to [Raj Hammeer Singh Hada](https://github.com/criminact) for providing this

**PiperEngine**
- Added PiperEngine.
- Piper installation tutorial: https://www.youtube.com/watch?v=GGvdq3giiTQ
- Piper test file: https://github.com/KoljaB/RealtimeTTS/blob/master/tests/piper_test.py

- support for customized installations
- upgraded version numbers of dependent libraries raised to latest versions
- fixed 96: expanded python_requires to include Python 3.12 (now '>=3.9, <3.13')

❗️ Please use `pip install realtimetts[all]` instead of `pip install realtimetts` now.

To install RealtimeTTS with support for all TTS engines:

bash
pip install -U realtimetts[all]


Custom Installation

RealtimeTTS allows for custom installation with minimal library installations. Here are the options available:
- **all**: Full installation with every engine supported.
- **system**: Includes system-specific TTS capabilities (e.g., pyttsx3).
- **azure**: Adds Azure Cognitive Services Speech support.
- **elevenlabs**: Includes integration with ElevenLabs API.
- **openai**: For OpenAI voice services.
- **gtts**: Google Text-to-Speech support.
- **coqui**: Installs the Coqui TTS engine.
- **minimal**: Installs only the base requirements with no engine (only needed if you want to develop an own engine)


Say you want to install RealtimeTTS only for local neuronal Coqui TTS usage, then you should use:

bash
pip install realtimetts[coqui]


If for example you want to install RealtimeTTS with only Azure Cognitive Services Speech, ElevenLabs, and OpenAI support:

bash
pip install realtimetts[azure,elevenlabs,openai]


Virtual Environment Installation

For those who want to perform a full installation within a virtual environment, follow these steps:

bash
python -m venv env_realtimetts
env_realtimetts\Scripts\activate.bat
python.exe -m pip install --upgrade pip
pip install -U realtimetts[all]

- added emotions to azure engine
- added speed parameter to GTTSEngine (usage see [gtts_test.py](https://github.com/KoljaB/RealtimeTTS/blob/master/tests/gtts_test.py))
- switched coquiengine to [Idiap Research Institute](https://github.com/idiap)'s maintained [fork of coqui tts](https://github.com/idiap/coqui-ai-TTS) (thanks!)
- bugfix for ElevenlabsEngine get_voices method

- New engine: GTTSEngine

Offers realtime support for Google Translate's text-to-speech API ([GTTS](https://github.com/pndurette/gTTS)): free TTS without need for a GPU with a better sound quality than system voices can offer

💖 Shoutout to [Pierre Nicolas Durette](https://github.com/pndurette) for making this possible