TTS (Text-To-Speech) microservice helps users convert text to speech. When building a talking bot with LLM, users might need an LLM generated answer in audio format. This microservice is built for that conversion stage.
- Xeon CPU
cd dependency/
nohup python speecht5_server.py --device=cpu &
curl http://localhost:7055/v1/tts -XPOST -d '{"text": "Who are you?"}' -H 'Content-Type: application/json'
- Gaudi2 HPU
pip install optimum[habana]
cd dependency/
nohup python speecht5_server.py --device=hpu &
curl http://localhost:7055/v1/tts -XPOST -d '{"text": "Who are you?"}' -H 'Content-Type: application/json'
python tts.py
curl http://localhost:9088/v1/audio/speech -XPOST -d '{"text": "Who are you?"}' -H 'Content-Type: application/json'
Alternatively, you can start the TTS microservice with Docker.
- Xeon CPU
cd ../../../
docker build -t opea/speecht5:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/tts/speecht5/dependency/Dockerfile .
- Gaudi2 HPU
cd ../../../
docker build -t opea/speecht5-gaudi:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/tts/speecht5/dependency/Dockerfile.intel_hpu .
docker build -t opea/tts:latest --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f comps/tts/speecht5/Dockerfile .
- Xeon
docker run -p 7055:7055 --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy opea/speecht5:latest
- Gaudi2 HPU
docker run -p 7055:7055 --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none --cap-add=sys_nice --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy opea/speecht5-gaudi:latest
ip_address=$(hostname -I | awk '{print $1}')
docker run -p 9088:9088 --ipc=host -e http_proxy=$http_proxy -e https_proxy=$https_proxy -e TTS_ENDPOINT=http://$ip_address:7055 opea/tts:latest
curl http://localhost:7055/v1/tts -XPOST -d '{"text": "Who are you?"}' -H 'Content-Type: application/json'
# openai protocol compatible
# voice can be 'male' or 'default'
curl http://localhost:7055/v1/audio/speech -XPOST -d '{"input":"Who are you?", "voice": "male"}' -H 'Content-Type: application/json' --output speech.wav
curl http://localhost:9088/v1/audio/speech -XPOST -d '{"text": "Who are you?"}' -H 'Content-Type: application/json'