* 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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* 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
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* 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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* fix: set image type
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* 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
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* 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>
---------
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Signed-off-by: Aisuko <urakiny@gmail.com>
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Co-authored-by: Aisuko <urakiny@gmail.com>
This change facilitates users working behind corporate firewalls or proxies. By allowing the integration of custom CA certificates, users can handle SSL connections that are intercepted by company infrastructure.
* ci: run only cublas on selfhosted
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* debug
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* update git
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* change testing embeddings model link
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fix backend/cpp/llama CMakeList.txt on OSX - detect OSX and use homebrew libraries
* sneak a logging fix in too for gallery debugging
* additional logging
* wip: llama.cpp c++ gRPC server
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* make it work, attach it to the build process
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* update deps
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix: add protobuf dep
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* try fix protobuf on cmake
* cmake: workarounds
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* add packages
* cmake: use fixed version of grpc
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* cmake(grpc): install locally
* install grpc
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* install required deps for grpc on debian bullseye
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* debug
* debug
* Fixups
* no need to install cmake manually
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* ci: fixup macOS
* use brew whenever possible
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* macOS fixups
* debug
* fix container build
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* workaround
* try mac
https://stackoverflow.com/questions/23905661/on-mac-g-clang-fails-to-search-usr-local-include-and-usr-local-lib-by-def
* Disable temp. arm64 docker image builds
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Adding subcommands to do certain actions directly from the command line.
I'm starting with the models subcommand allowing you to list models from
your galleries and install them.
This PR partially fixes#816
My intention is to keep adding other subcommands, but I think this is a
good start, and I think this already provides value.
Also, I added a new dependency to generate the progress bar in the
command line, it is not "needed" but I think is a nice to have to have a
cooler interface.
Here is a screenshot:
![imagen](https://github.com/go-skynet/LocalAI/assets/290303/8d8c1bf0-5340-46ce-9362-812694f914cd)
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| Package | Type | Update | Change |
|---|---|---|---|
|
[github.com/go-skynet/go-llama.cpp](https://togithub.com/go-skynet/go-llama.cpp)
| require | digest | `1676dcd` -> `aeba71e` |
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This PR contains the following updates:
| Package | Type | Update | Change |
|---|---|---|---|
| [google.golang.org/grpc](https://togithub.com/grpc/grpc-go) | require
| patch | `v1.58.2` -> `v1.58.3` |
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<details>
<summary>grpc/grpc-go (google.golang.org/grpc)</summary>
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[Compare
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### Security
- server: prohibit more than MaxConcurrentStreams handlers from running
at once (CVE-2023-44487)
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This PR bundles together two unrelated features:
1. Model Gallery improvements - specifically, the ability to follow
".ref" gallery links (which I made up for this specific application) to
an actual gallery yaml file (in order to have stable URLs) and the
ability to load self-contained configurations, rather than always using
a base.yaml + overrides. This is groundwork for my python-based
huggingface scraper.
2. A while ago I introduced some Insomnia request templates for people
to use. Unfortunately, Insomnia has decided to tank their product... So
I've personally switched to using
[bruno](https://github.com/usebruno/bruno/). Corresponding equivalent
files that I use for my testing have been added. Just open the folder
from bruno and everything will work. No import process required.
---------
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This PR contains the following updates:
| Package | Type | Update | Change |
|---|---|---|---|
| [github.com/onsi/ginkgo/v2](https://togithub.com/onsi/ginkgo) |
require | minor | `v2.12.1` -> `v2.13.0` |
---
### Release Notes
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<summary>onsi/ginkgo (github.com/onsi/ginkgo/v2)</summary>
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[Compare
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#### 2.13.0
##### Features
Add PreviewSpect() to enable programmatic preview access to the suite
report (fixes
[#​1225](https://togithub.com/onsi/ginkgo/issues/1225))
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repository job log
[here](https://developer.mend.io/github/go-skynet/LocalAI).
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Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>