LocalAI/backend/python
Ettore Di Giacinto d2934dd69f feat(elevenlabs): map elevenlabs API support to TTS
This allows elevenlabs Clients to work automatically with LocalAI by
supporting the elevenlabs API.

The elevenlabs server endpoint is implemented such as it is wired to the
TTS endpoints.

Fixes: https://github.com/mudler/LocalAI/issues/1809
2024-03-14 18:12:47 +01:00
..
autogptq feat(elevenlabs): map elevenlabs API support to TTS 2024-03-14 18:12:47 +01:00
bark feat(elevenlabs): map elevenlabs API support to TTS 2024-03-14 18:12:47 +01:00
common-env/transformers feat(intel): add diffusers/transformers support (#1746) 2024-03-07 14:37:45 +01:00
coqui feat(elevenlabs): map elevenlabs API support to TTS 2024-03-14 18:12:47 +01:00
diffusers feat(elevenlabs): map elevenlabs API support to TTS 2024-03-14 18:12:47 +01:00
exllama feat(elevenlabs): map elevenlabs API support to TTS 2024-03-14 18:12:47 +01:00
exllama2 feat(elevenlabs): map elevenlabs API support to TTS 2024-03-14 18:12:47 +01:00
mamba feat(elevenlabs): map elevenlabs API support to TTS 2024-03-14 18:12:47 +01:00
petals feat(elevenlabs): map elevenlabs API support to TTS 2024-03-14 18:12:47 +01:00
sentencetransformers feat(elevenlabs): map elevenlabs API support to TTS 2024-03-14 18:12:47 +01:00
transformers feat(elevenlabs): map elevenlabs API support to TTS 2024-03-14 18:12:47 +01:00
transformers-musicgen feat(elevenlabs): map elevenlabs API support to TTS 2024-03-14 18:12:47 +01:00
vall-e-x feat(elevenlabs): map elevenlabs API support to TTS 2024-03-14 18:12:47 +01:00
vllm feat(elevenlabs): map elevenlabs API support to TTS 2024-03-14 18:12:47 +01:00
README.md refactor: move backends into the backends directory (#1279) 2023-11-13 22:40:16 +01:00

Common commands about conda environment

Create a new empty conda environment

conda create --name <env-name> python=<your version> -y

conda create --name autogptq python=3.11 -y

To activate the environment

As of conda 4.4

conda activate autogptq

The conda version older than 4.4

source activate autogptq

Install the packages to your environment

Sometimes you need to install the packages from the conda-forge channel

By using conda

conda install <your-package-name>

conda install -c conda-forge <your package-name>

Or by using pip

pip install <your-package-name>