# jarvis-models
## Conda Environment and Python Library Requirement
```bash
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
```bash
uvicorn main:app --reload
```
or
```bash
python main.py
```

## Configuration
Create ".env.yaml" at the root of jarvis-models, and copy the following yaml configuration
```yaml
log:
  level: debug
  time_format: "%Y-%m-%d %H:%M:%S"
  filename: "D:/Workspace/Logging/jarvis/jarvis-models.log"

melotts:
  url: http://{IP running docker melotts-api}:18080/convert/tts

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
```