jarvis-models

Conda Environment and Python Library Requirement

conda create -n jarvis-models python==3.10.11
pip install -r sample/requirement_out_of_pytorch.txt
pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118

More Dependencies

System	package	web	install command
python	filetype	https://pypi.org/project/filetype/	pip install filetype
python	fastAPI	https://fastapi.tiangolo.com/	pip install fastapi
python	python-multipart	https://pypi.org/project/python-multipart/	pip install python-multipart
python	uvicorn	https://www.uvicorn.org/	pip install "uvicorn[standard]"
python	SpeechRecognition	https://pypi.org/project/SpeechRecognition/	pip install SpeechRecognition
python	gtts	https://pypi.org/project/gTTS/	pip install gTTS
python	PyYAML	https://pypi.org/project/PyYAML/	pip install PyYAML
python	injector	https://github.com/python-injector/injector	pip install injector
python	langchain	https://github.com/langchain-ai/langchain	pip install langchain
python	chromadb	https://docs.trychroma.com/getting-started	pip install chromadb
python	lagent	https://github.com/InternLM/lagent/blob/main/README.md	pip install lagent

Start

Start the jarvis-models service via

uvicorn main:app --reload

or

python main.py

Configuration

Create ".env.yaml" at the root of jarvis-models, and copy the following yaml configuration

log:
  level: debug
  time_format: "%Y-%m-%d %H:%M:%S"
  filename: "D:/Workspace/Logging/jarvis/jarvis-models.log"

melotts:
  mode: local # or docker
  url: http://10.6.44.16:18080/convert/tts
  speed: 0.9
  device: 'cuda'
  language: 'ZH'
  speaker: 'ZH'

tesou:
  url: http://120.196.116.194:48891/chat/

TokenIDConverter:
  token_path: src/asr/resources/models/token_list.pkl
  unk_symbol: <unk>

CharTokenizer:
  symbol_value:
  space_symbol: <space>
  remove_non_linguistic_symbols: false

WavFrontend:
  cmvn_file: src/asr/resources/models/am.mvn
  frontend_conf:
    fs: 16000
    window: hamming
    n_mels: 80
    frame_length: 25
    frame_shift: 10
    lfr_m: 7
    lfr_n: 6
    filter_length_max: -.inf
    dither: 0.0

Model:
  model_path: src/asr/resources/models/model.onnx
  use_cuda: false
  CUDAExecutionProvider:
      device_id: 0
      arena_extend_strategy: kNextPowerOfTwo
      cudnn_conv_algo_search: EXHAUSTIVE
      do_copy_in_default_stream: true
  batch_size: 3