LocalAI/extra/grpc/bark/ttsbark.yml
Ettore Di Giacinto f347e51927
feat(conda): conda environments (#1144)
* feat(autogptq): add a separate conda environment for autogptq (#1137)

**Description**

This PR related to #1117

**Notes for Reviewers**

Here we lock down the version of the dependencies. Make sure it can be
used all the time without failed if the version of dependencies were
upgraded.

I change the order of importing packages according to the pylint, and no
change the logic of code. It should be ok.

I will do more investigate on writing some test cases for every backend.
I can run the service in my environment, but there is not exist a way to
test it. So, I am not confident on it.

Add a README.md in the `grpc` root. This is the common commands for
creating `conda` environment. And it can be used to the reference file
for creating extral gRPC backend document.

Signed-off-by: GitHub <noreply@github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* [Extra backend] Add seperate environment for ttsbark (#1141)

**Description**

This PR relates to #1117

**Notes for Reviewers**

Same to the latest PR:
* The code is also changed, but only the order of the import package
parts. And some code comments are also added.
* Add a configuration of the `conda` environment
* Add a simple test case for testing if the service can be startup in
current `conda` environment. It is succeed in VSCode, but the it is not
out of box on terminal. So, it is hard to say the test case really
useful.

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(conda): add make target and entrypoints for the dockerfile

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(conda): Add seperate conda env for diffusers (#1145)

**Description**

This PR relates to  #1117

**Notes for Reviewers**

* Add `conda` env `diffusers.yml`
* Add Makefile to create it automatically
* Add `run.sh` to support running as a extra backend
  * Also adding it to the main Dockerfile
* Add make command in the root Makefile
* Testing the server, it can start up under the env

Signed-off-by: GitHub <noreply@github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(conda):Add seperate env for vllm (#1148)

**Description**

This PR is related to #1117

**Notes for Reviewers**

* The gRPC server can be started as normal
* The test case can be triggered in VSCode
* Same to other this kind of PRs, add `vllm.yml` Makefile and add
`run.sh` to the main Dockerfile, and command to the main Makefile

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* feat(conda):Add seperate env for huggingface (#1146)

**Description**

This PR is related to  #1117

**Notes for Reviewers**

* Add conda env `huggingface.yml`
* Change the import order, and also remove the no-used packages
* Add `run.sh` and `make command` to the main Dockerfile and Makefile
* Add test cases for it. It can be triggered and succeed under VSCode
Python extension but it is hang by using `python -m unites
test_huggingface.py` in the terminal

```
Running tests (unittest): /workspaces/LocalAI/extra/grpc/huggingface
Running tests: /workspaces/LocalAI/extra/grpc/huggingface/test_huggingface.py::TestBackendServicer::test_embedding
/workspaces/LocalAI/extra/grpc/huggingface/test_huggingface.py::TestBackendServicer::test_load_model
/workspaces/LocalAI/extra/grpc/huggingface/test_huggingface.py::TestBackendServicer::test_server_startup
./test_huggingface.py::TestBackendServicer::test_embedding Passed

./test_huggingface.py::TestBackendServicer::test_load_model Passed

./test_huggingface.py::TestBackendServicer::test_server_startup Passed

Total number of tests expected to run: 3
Total number of tests run: 3
Total number of tests passed: 3
Total number of tests failed: 0
Total number of tests failed with errors: 0
Total number of tests skipped: 0

Finished running tests!
```

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* feat(conda): Add the seperate conda env for VALL-E X (#1147)

**Description**

This PR is related  to #1117

**Notes for Reviewers**

* The gRPC server cannot start up

```
(ttsvalle) @Aisuko ➜ /workspaces/LocalAI (feat/vall-e-x) $ /opt/conda/envs/ttsvalle/bin/python /workspaces/LocalAI/extra/grpc/vall-e-x/ttsvalle.py
Traceback (most recent call last):
  File "/workspaces/LocalAI/extra/grpc/vall-e-x/ttsvalle.py", line 14, in <module>
    from utils.generation import SAMPLE_RATE, generate_audio, preload_models
ModuleNotFoundError: No module named 'utils'
```

The installation steps follow
https://github.com/Plachtaa/VALL-E-X#-installation below:

* Under the `ttsvalle` conda env

```
git clone https://github.com/Plachtaa/VALL-E-X.git
cd VALL-E-X
pip install -r requirements.txt
```

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Signed-off-by: GitHub <noreply@github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix: set image type

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(conda):Add seperate conda env for exllama (#1149)

Add seperate env for exllama

Signed-off-by: Aisuko <urakiny@gmail.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Setup conda

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Set image_type arg

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* ci: prepare only conda env in tests

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Dockerfile: comment manual pip calls

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* conda: add conda to PATH

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fixes

* add shebang

* Fixups

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* file perms

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* debug

* Install new conda in the worker

* Disable GPU tests for now until the worker is back

* Rename workflows

* debug

* Fixup conda install

* fixup(wrapper): pass args

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: GitHub <noreply@github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Signed-off-by: Aisuko <urakiny@gmail.com>
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
Co-authored-by: Aisuko <urakiny@gmail.com>
2023-11-04 15:30:32 +01:00

97 lines
2.5 KiB
YAML

name: bark
channels:
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2023.08.22=h06a4308_0
- ld_impl_linux-64=2.38=h1181459_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
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- libuuid=1.41.5=h5eee18b_0
- ncurses=6.4=h6a678d5_0
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- pip=23.2.1=py311h06a4308_0
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- wheel=0.41.2=py311h06a4308_0
- xz=5.4.2=h5eee18b_0
- zlib=1.2.13=h5eee18b_0
- pip:
- accelerate==0.23.0
- aiohttp==3.8.5
- aiosignal==1.3.1
- async-timeout==4.0.3
- attrs==23.1.0
- bark==0.1.5
- boto3==1.28.61
- botocore==1.31.61
- certifi==2023.7.22
- charset-normalizer==3.3.0
- datasets==2.14.5
- dill==0.3.7
- einops==0.7.0
- encodec==0.1.1
- filelock==3.12.4
- frozenlist==1.4.0
- fsspec==2023.6.0
- funcy==2.0
- grpcio==1.59.0
- huggingface-hub==0.16.4
- idna==3.4
- jinja2==3.1.2
- jmespath==1.0.1
- markupsafe==2.1.3
- mpmath==1.3.0
- multidict==6.0.4
- multiprocess==0.70.15
- networkx==3.1
- numpy==1.26.0
- nvidia-cublas-cu12==12.1.3.1
- nvidia-cuda-cupti-cu12==12.1.105
- nvidia-cuda-nvrtc-cu12==12.1.105
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- nvidia-cudnn-cu12==8.9.2.26
- nvidia-cufft-cu12==11.0.2.54
- nvidia-curand-cu12==10.3.2.106
- nvidia-cusolver-cu12==11.4.5.107
- nvidia-cusparse-cu12==12.1.0.106
- nvidia-nccl-cu12==2.18.1
- nvidia-nvjitlink-cu12==12.2.140
- nvidia-nvtx-cu12==12.1.105
- packaging==23.2
- pandas==2.1.1
- peft==0.5.0
- protobuf==4.24.4
- psutil==5.9.5
- pyarrow==13.0.0
- python-dateutil==2.8.2
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- pyyaml==6.0.1
- regex==2023.10.3
- requests==2.31.0
- rouge==1.0.1
- s3transfer==0.7.0
- safetensors==0.3.3
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- six==1.16.0
- sympy==1.12
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- torch==2.1.0
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- tqdm==4.66.1
- transformers==4.34.0
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- typing-extensions==4.8.0
- tzdata==2023.3
- urllib3==1.26.17
- xxhash==3.4.1
- yarl==1.9.2
prefix: /opt/conda/envs/bark