Spaces:
Running
on
T4
Running
on
T4
title: Seamless Streaming | |
emoji: 📞 | |
colorFrom: blue | |
colorTo: yellow | |
sdk: docker | |
pinned: false | |
suggested_hardware: t4-small | |
models: | |
- facebook/seamless-streaming | |
# Seamless Streaming demo | |
## Running on HF spaces | |
You can simply duplicate the space to run it. | |
## Running locally | |
### Install backend seamless_server dependencies | |
> [!NOTE] | |
> Please note: we *do not* recommend running the model on CPU. CPU inference will be slow and introduce noticable delays in the simultaneous translation. | |
> [!NOTE] | |
> The example below is for PyTorch stable (2.1.1) and variant cu118. | |
> Check [here](https://pytorch.org/get-started/locally/) to find the torch/torchaudio command for your variant. | |
> Check [here](https://github.com/facebookresearch/fairseq2#variants) to find the fairseq2 command for your variant. | |
If running for the first time, create conda environment and install the desired torch version. Then install the rest of the requirements: | |
``` | |
cd seamless_server | |
conda create --yes --name smlss_server python=3.8 libsndfile==1.0.31 | |
conda activate smlss_server | |
conda install --yes pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia | |
pip install fairseq2 --pre --extra-index-url https://fair.pkg.atmeta.com/fairseq2/whl/nightly/pt2.1.1/cu118 | |
pip install -r requirements.txt | |
``` | |
### Install frontend streaming-react-app dependencies | |
``` | |
conda install -c conda-forge nodejs | |
cd streaming-react-app | |
npm install --global yarn | |
yarn | |
yarn build # this will create the dist/ folder | |
``` | |
### Running the server | |
The server can be run locally with uvicorn below. | |
Run the server in dev mode: | |
``` | |
cd seamless_server | |
uvicorn app_pubsub:app --reload --host localhost | |
``` | |
Run the server in prod mode: | |
``` | |
cd seamless_server | |
uvicorn app_pubsub:app --host 0.0.0.0 | |
``` | |
To enable additional logging from uvicorn pass `--log-level debug` or `--log-level trace`. | |
### Debuging | |
If you enable "Server Debug Flag" when starting streaming from the client, this enables extensive debug logging and it saves audio files in /debug folder. |