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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* 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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* 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>

extra/grpc/diffusers/backend_diffusers.py

@@ -1,27 +1,32 @@
 #!/usr/bin/env python3
-import grpc
 from concurrent import futures
-import time
-import backend_pb2
-import backend_pb2_grpc
+
 import argparse
+from collections import defaultdict
+from enum import Enum
 import signal
 import sys
+import time
 import os
 
-# import diffusers
-import torch
-from torch import autocast
-from diffusers import StableDiffusionXLPipeline, StableDiffusionDepth2ImgPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, EulerAncestralDiscreteScheduler
-from diffusers.pipelines.stable_diffusion import safety_checker
-from compel import Compel
 from PIL import Image
-from io import BytesIO
+import torch
+
+import backend_pb2
+import backend_pb2_grpc
+
+import grpc
+
+from diffusers import StableDiffusionXLPipeline, StableDiffusionDepth2ImgPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, EulerAncestralDiscreteScheduler
 from diffusers import StableDiffusionImg2ImgPipeline
+from diffusers.pipelines.stable_diffusion import safety_checker
+
+from compel import Compel
+
 from transformers import CLIPTextModel
-from enum import Enum
-from collections import defaultdict
 from safetensors.torch import load_file
+
+
 _ONE_DAY_IN_SECONDS = 60 * 60 * 24
 COMPEL=os.environ.get("COMPEL", "1") == "1"
 CLIPSKIP=os.environ.get("CLIPSKIP", "1") == "1"