* Separate API tests and only run when uplifted

* Make style
This commit is contained in:
Eren Gölge 2023-07-24 12:14:21 +02:00 committed by GitHub
parent c0aabb8596
commit 0de12ec5aa
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6 changed files with 59 additions and 3 deletions

53
.github/workflows/api_tests.yml vendored Normal file
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@ -0,0 +1,53 @@
name: api_tests
on:
push:
branches:
- main
jobs:
check_skip:
runs-on: ubuntu-latest
if: "! contains(github.event.head_commit.message, '[ci skip]')"
steps:
- run: echo "${{ github.event.head_commit.message }}"
test:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: [3.9, "3.10", "3.11"]
experimental: [false]
steps:
- uses: actions/checkout@v3
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
architecture: x64
cache: 'pip'
cache-dependency-path: 'requirements*'
- name: check OS
run: cat /etc/os-release
- name: set ENV
run: |
export TRAINER_TELEMETRY=0
- name: Install dependencies
run: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends git make gcc
sudo apt-get install espeak-ng
make system-deps
- name: Install/upgrade Python setup deps
run: python3 -m pip install --upgrade pip setuptools wheel
- name: Replace scarf urls
run: |
sed -i 's/https:\/\/coqui.gateway.scarf.sh\//https:\/\/github.com\/coqui-ai\/TTS\/releases\/download\//g' TTS/.models.json
- name: Install TTS
run: |
python3 -m pip install .[all]
python3 setup.py egg_info
- name: Unit tests
run: make api_tests
env:
COQUI_STUDIO_TOKEN: ${{ secrets.COQUI_STUDIO_TOKEN }}

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@ -51,5 +51,3 @@ jobs:
python3 setup.py egg_info
- name: Unit tests
run: make inference_tests
env:
COQUI_STUDIO_TOKEN: ${{ secrets.COQUI_STUDIO_TOKEN }}

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@ -29,6 +29,9 @@ test_zoo: ## run zoo tests.
inference_tests: ## run inference tests.
nose2 -F -v -B --with-coverage --coverage TTS tests.inference_tests
api_tests: ## run api tests.
nose2 -F -v -B --with-coverage --coverage TTS tests.api_tests
data_tests: ## run data tests.
nose2 -F -v -B --with-coverage --coverage TTS tests.data_tests

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@ -136,7 +136,9 @@ def generate_voice(
hubert_model = CustomHubert(checkpoint_path=model.config.LOCAL_MODEL_PATHS["hubert"]).to(model.device)
# Load the CustomTokenizer model
tokenizer = HubertTokenizer.load_from_checkpoint(model.config.LOCAL_MODEL_PATHS["hubert_tokenizer"], map_location=model.device)
tokenizer = HubertTokenizer.load_from_checkpoint(
model.config.LOCAL_MODEL_PATHS["hubert_tokenizer"], map_location=model.device
)
# semantic_tokens = model.text_to_semantic(
# text, max_gen_duration_s=seconds, top_k=50, top_p=0.95, temp=0.7
# ) # not 100%

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