Wip openvoice

This commit is contained in:
Ettore Di Giacinto 2024-05-13 21:54:16 +02:00
parent e49ea0123b
commit e73997e40c
11 changed files with 377 additions and 3 deletions

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@ -123,6 +123,28 @@ jobs:
run: |
make --jobs=5 --output-sync=target -C backend/python/parler-tts
make --jobs=5 --output-sync=target -C backend/python/parler-tts test
tests-openvoice:
runs-on: ubuntu-latest
steps:
- name: Clone
uses: actions/checkout@v4
with:
submodules: true
- name: Dependencies
run: |
sudo apt-get update
sudo apt-get install build-essential ffmpeg
# Install UV
curl -LsSf https://astral.sh/uv/install.sh | sh
sudo apt-get install -y ca-certificates cmake curl patch python3-pip
sudo apt-get install -y libopencv-dev
pip install --user grpcio-tools==1.63.0
- name: Test openvoice
run: |
make --jobs=5 --output-sync=target -C backend/python/openvoice
make --jobs=5 --output-sync=target -C backend/python/openvoice test
tests-transformers-musicgen:
runs-on: ubuntu-latest

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@ -12,7 +12,7 @@ ARG TARGETARCH
ARG TARGETVARIANT
ENV DEBIAN_FRONTEND=noninteractive
ENV EXTERNAL_GRPC_BACKENDS="coqui:/build/backend/python/coqui/run.sh,huggingface-embeddings:/build/backend/python/sentencetransformers/run.sh,petals:/build/backend/python/petals/run.sh,transformers:/build/backend/python/transformers/run.sh,sentencetransformers:/build/backend/python/sentencetransformers/run.sh,rerankers:/build/backend/python/rerankers/run.sh,autogptq:/build/backend/python/autogptq/run.sh,bark:/build/backend/python/bark/run.sh,diffusers:/build/backend/python/diffusers/run.sh,exllama:/build/backend/python/exllama/run.sh,vall-e-x:/build/backend/python/vall-e-x/run.sh,vllm:/build/backend/python/vllm/run.sh,mamba:/build/backend/python/mamba/run.sh,exllama2:/build/backend/python/exllama2/run.sh,transformers-musicgen:/build/backend/python/transformers-musicgen/run.sh,parler-tts:/build/backend/python/parler-tts/run.sh"
ENV EXTERNAL_GRPC_BACKENDS="coqui:/build/backend/python/coqui/run.sh,huggingface-embeddings:/build/backend/python/sentencetransformers/run.sh,petals:/build/backend/python/petals/run.sh,transformers:/build/backend/python/transformers/run.sh,sentencetransformers:/build/backend/python/sentencetransformers/run.sh,rerankers:/build/backend/python/rerankers/run.sh,autogptq:/build/backend/python/autogptq/run.sh,bark:/build/backend/python/bark/run.sh,diffusers:/build/backend/python/diffusers/run.sh,exllama:/build/backend/python/exllama/run.sh,openvoice:/build/backend/python/openvoice/run.sh,vall-e-x:/build/backend/python/vall-e-x/run.sh,vllm:/build/backend/python/vllm/run.sh,mamba:/build/backend/python/mamba/run.sh,exllama2:/build/backend/python/exllama2/run.sh,transformers-musicgen:/build/backend/python/transformers-musicgen/run.sh,parler-tts:/build/backend/python/parler-tts/run.sh"
ARG GO_TAGS="stablediffusion tinydream tts"
@ -305,6 +305,9 @@ RUN if [[ ( "${EXTRA_BACKENDS}" =~ "coqui" || -z "${EXTRA_BACKENDS}" ) && "$IMAG
RUN if [[ ( "${EXTRA_BACKENDS}" =~ "vall-e-x" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
make -C backend/python/vall-e-x \
; fi && \
if [[ ( "${EXTRA_BACKENDS}" =~ "openvoice" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
make -C backend/python/openvoice \
; fi && \
if [[ ( "${EXTRA_BACKENDS}" =~ "petals" || -z "${EXTRA_BACKENDS}" ) && "$IMAGE_TYPE" == "extras" ]]; then \
make -C backend/python/petals \
; fi && \

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@ -445,10 +445,10 @@ protogen-go-clean:
$(RM) bin/*
.PHONY: protogen-python
protogen-python: autogptq-protogen bark-protogen coqui-protogen diffusers-protogen exllama-protogen exllama2-protogen mamba-protogen petals-protogen rerankers-protogen sentencetransformers-protogen transformers-protogen parler-tts-protogen transformers-musicgen-protogen vall-e-x-protogen vllm-protogen
protogen-python: autogptq-protogen bark-protogen coqui-protogen diffusers-protogen exllama-protogen exllama2-protogen mamba-protogen petals-protogen rerankers-protogen sentencetransformers-protogen transformers-protogen parler-tts-protogen transformers-musicgen-protogen vall-e-x-protogen vllm-protogen openvoice-protogen
.PHONY: protogen-python-clean
protogen-python-clean: autogptq-protogen-clean bark-protogen-clean coqui-protogen-clean diffusers-protogen-clean exllama-protogen-clean exllama2-protogen-clean mamba-protogen-clean petals-protogen-clean sentencetransformers-protogen-clean rerankers-protogen-clean transformers-protogen-clean transformers-musicgen-protogen-clean parler-tts-protogen-clean vall-e-x-protogen-clean vllm-protogen-clean
protogen-python-clean: autogptq-protogen-clean bark-protogen-clean coqui-protogen-clean diffusers-protogen-clean exllama-protogen-clean exllama2-protogen-clean mamba-protogen-clean petals-protogen-clean sentencetransformers-protogen-clean rerankers-protogen-clean transformers-protogen-clean transformers-musicgen-protogen-clean parler-tts-protogen-clean vall-e-x-protogen-clean vllm-protogen-clean openvoice-protogen-clean
.PHONY: autogptq-protogen
autogptq-protogen:
@ -562,6 +562,14 @@ vall-e-x-protogen:
vall-e-x-protogen-clean:
$(MAKE) -C backend/python/vall-e-x protogen-clean
.PHONY: openvoice-protogen
openvoice-protogen:
$(MAKE) -C backend/python/openvoice protogen
.PHONY: openvoice-protogen-clean
openvoice-protogen-clean:
$(MAKE) -C backend/python/openvoice protogen-clean
.PHONY: vllm-protogen
vllm-protogen:
$(MAKE) -C backend/python/vllm protogen
@ -585,6 +593,7 @@ prepare-extra-conda-environments: protogen-python
$(MAKE) -C backend/python/transformers-musicgen
$(MAKE) -C backend/python/parler-tts
$(MAKE) -C backend/python/vall-e-x
$(MAKE) -C backend/python/openvoice
$(MAKE) -C backend/python/exllama
$(MAKE) -C backend/python/petals
$(MAKE) -C backend/python/exllama2

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@ -0,0 +1,25 @@
.DEFAULT_GOAL := install
.PHONY: install
install: protogen
bash install.sh
.PHONY: protogen
protogen: backend_pb2_grpc.py backend_pb2.py
.PHONY: protogen-clean
protogen-clean:
$(RM) backend_pb2_grpc.py backend_pb2.py
backend_pb2_grpc.py backend_pb2.py:
python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto
.PHONY: clean
clean: protogen-clean
rm -rf venv __pycache__
.PHONY: test
test: protogen
@echo "Testing openvoice..."
bash test.sh
@echo "openvoice tested."

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@ -0,0 +1,158 @@
#!/usr/bin/env python3
"""
Extra gRPC server for OpenVoice models.
"""
from concurrent import futures
import argparse
import signal
import sys
import os
import torch
from openvoice import se_extractor
from openvoice.api import ToneColorConverter
from melo.api import TTS
import time
import backend_pb2
import backend_pb2_grpc
import grpc
_ONE_DAY_IN_SECONDS = 60 * 60 * 24
# If MAX_WORKERS are specified in the environment use it, otherwise default to 1
MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1'))
# Implement the BackendServicer class with the service methods
class BackendServicer(backend_pb2_grpc.BackendServicer):
"""
A gRPC servicer for the backend service.
This class implements the gRPC methods for the backend service, including Health, LoadModel, and Embedding.
"""
def Health(self, request, context):
"""
A gRPC method that returns the health status of the backend service.
Args:
request: A HealthRequest object that contains the request parameters.
context: A grpc.ServicerContext object that provides information about the RPC.
Returns:
A Reply object that contains the health status of the backend service.
"""
return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
def LoadModel(self, request, context):
"""
A gRPC method that loads a model into memory.
Args:
request: A LoadModelRequest object that contains the request parameters.
context: A grpc.ServicerContext object that provides information about the RPC.
Returns:
A Result object that contains the result of the LoadModel operation.
"""
model_name = request.Model
try:
self.clonedVoice = False
# Assume directory from request.ModelFile.
# Only if request.LoraAdapter it's not an absolute path
if request.AudioPath and request.ModelFile != "" and not os.path.isabs(request.AudioPath):
# get base path of modelFile
modelFileBase = os.path.dirname(request.ModelFile)
request.AudioPath = os.path.join(modelFileBase, request.AudioPath)
if request.AudioPath != "":
self.clonedVoice = True
self.modelpath = request.ModelFile
self.speaker = request.Type
self.ClonedVoicePath = request.AudioPath
ckpt_converter = request.Model+'/converter'
device = "cuda:0" if torch.cuda.is_available() else "cpu"
self.device = device
self.tone_color_converter = None
if self.clonedVoice:
self.tone_color_converter = ToneColorConverter(f'{ckpt_converter}/config.json', device=device)
self.tone_color_converter.load_ckpt(f'{ckpt_converter}/checkpoint.pth')
except Exception as err:
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
return backend_pb2.Result(message="Model loaded successfully", success=True)
def TTS(self, request, context):
model_name = request.model
if model_name == "":
return backend_pb2.Result(success=False, message="request.model is required")
try:
# Speed is adjustable
speed = 1.0
voice = "EN"
if request.voice:
voice = request.voice
model = TTS(language=voice, device=self.device)
speaker_ids = model.hps.data.spk2id
speaker_key = self.speaker
modelpath = self.modelpath
for s in speaker_ids.keys():
print(f"Speaker: {s} - ID: {speaker_ids[s]}")
speaker_id = speaker_ids[speaker_key]
speaker_key = speaker_key.lower().replace('_', '-')
source_se = torch.load(f'{modelpath}/base_speakers/ses/{speaker_key}.pth', map_location=self.device)
model.tts_to_file(request.text, speaker_id, request.dst, speed=speed)
if self.clonedVoice:
reference_speaker = self.ClonedVoicePath
target_se, audio_name = se_extractor.get_se(reference_speaker, self.tone_color_converter, vad=False)
# Run the tone color converter
encode_message = "@MyShell"
self.tone_color_converter.convert(
audio_src_path=request.dst,
src_se=source_se,
tgt_se=target_se,
output_path=request.dst,
message=encode_message)
print("[OpenVoice] TTS generated!", file=sys.stderr)
print("[OpenVoice] TTS saved to", request.dst, file=sys.stderr)
print(request, file=sys.stderr)
except Exception as err:
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
return backend_pb2.Result(success=True)
def serve(address):
server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS))
backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server)
server.add_insecure_port(address)
server.start()
print("[OpenVoice] Server started. Listening on: " + address, file=sys.stderr)
# Define the signal handler function
def signal_handler(sig, frame):
print("[OpenVoice] Received termination signal. Shutting down...")
server.stop(0)
sys.exit(0)
# Set the signal handlers for SIGINT and SIGTERM
signal.signal(signal.SIGINT, signal_handler)
signal.signal(signal.SIGTERM, signal_handler)
try:
while True:
time.sleep(_ONE_DAY_IN_SECONDS)
except KeyboardInterrupt:
server.stop(0)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Run the gRPC server.")
parser.add_argument(
"--addr", default="localhost:50051", help="The address to bind the server to."
)
args = parser.parse_args()
print(f"[OpenVoice] startup: {args}", file=sys.stderr)
serve(args.addr)

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@ -0,0 +1,16 @@
#!/bin/bash
set -e
source $(dirname $0)/../common/libbackend.sh
# This is here because the Intel pip index is broken and returns 200 status codes for every package name, it just doesn't return any package links.
# This makes uv think that the package exists in the Intel pip index, and by default it stops looking at other pip indexes once it finds a match.
# We need uv to continue falling through to the pypi default index to find optimum[openvino] in the pypi index
# the --upgrade actually allows us to *downgrade* torch to the version provided in the Intel pip index
if [ "x${BUILD_PROFILE}" == "xintel" ]; then
EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
fi
installRequirements
python -m unidic download

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@ -0,0 +1,23 @@
--extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
intel-extension-for-pytorch
torch
optimum[openvino]
grpcio==1.63.0
protobuf
librosa==0.9.1
faster-whisper==0.9.0
pydub==0.25.1
wavmark==0.0.3
numpy==1.22.0
eng_to_ipa==0.0.2
inflect==7.0.0
unidecode==1.3.7
whisper-timestamped==1.14.2
openai
python-dotenv
pypinyin==0.50.0
cn2an==0.5.22
jieba==0.42.1
gradio==3.48.0
langid==1.1.6
git+https://github.com/myshell-ai/MeloTTS.git

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@ -0,0 +1,20 @@
grpcio==1.63.0
protobuf
librosa==0.9.1
faster-whisper==0.9.0
pydub==0.25.1
wavmark==0.0.3
numpy==1.22.0
eng_to_ipa==0.0.2
inflect==7.0.0
unidecode==1.3.7
whisper-timestamped==1.14.2
openai
python-dotenv
pypinyin==0.50.0
cn2an==0.5.22
jieba==0.42.1
gradio==3.48.0
langid==1.1.6
git+https://github.com/myshell-ai/MeloTTS.git
git+https://github.com/myshell-ai/OpenVoice.git

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@ -0,0 +1,4 @@
#!/bin/bash
source $(dirname $0)/../common/libbackend.sh
startBackend $@

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@ -0,0 +1,82 @@
"""
A test script to test the gRPC service
"""
import unittest
import subprocess
import time
import backend_pb2
import backend_pb2_grpc
import grpc
class TestBackendServicer(unittest.TestCase):
"""
TestBackendServicer is the class that tests the gRPC service
"""
def setUp(self):
"""
This method sets up the gRPC service by starting the server
"""
self.service = subprocess.Popen(["python3", "backend.py", "--addr", "localhost:50051"])
time.sleep(10)
def tearDown(self) -> None:
"""
This method tears down the gRPC service by terminating the server
"""
self.service.terminate()
self.service.wait()
def test_server_startup(self):
"""
This method tests if the server starts up successfully
"""
try:
self.setUp()
with grpc.insecure_channel("localhost:50051") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
response = stub.Health(backend_pb2.HealthMessage())
self.assertEqual(response.message, b'OK')
except Exception as err:
print(err)
self.fail("Server failed to start")
finally:
self.tearDown()
def test_load_model(self):
"""
This method tests if the model is loaded successfully
"""
try:
self.setUp()
with grpc.insecure_channel("localhost:50051") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
response = stub.LoadModel(backend_pb2.ModelOptions(Model="checkpoints_v2",
Type="en-us"))
self.assertTrue(response.success)
self.assertEqual(response.message, "Model loaded successfully")
except Exception as err:
print(err)
self.fail("LoadModel service failed")
finally:
self.tearDown()
def test_tts(self):
"""
This method tests if the embeddings are generated successfully
"""
try:
self.setUp()
with grpc.insecure_channel("localhost:50051") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
response = stub.LoadModel(backend_pb2.ModelOptions(Model="dingzhen"))
self.assertTrue(response.success)
tts_request = backend_pb2.TTSRequest(text="80s TV news production music hit for tonight's biggest story", voice="EN")
tts_response = stub.TTS(tts_request)
self.assertIsNotNone(tts_response)
except Exception as err:
print(err)
self.fail("TTS service failed")
finally:
self.tearDown()

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@ -0,0 +1,12 @@
#!/bin/bash
set -e
source $(dirname $0)/../common/libbackend.sh
# Download checkpoints if not present
if [ ! -d "checkpoints_v2" ]; then
wget https://myshell-public-repo-hosting.s3.amazonaws.com/openvoice/checkpoints_v2_0417.zip -O checkpoints_v2.zip
unzip checkpoints_v2.zip
fi
runUnittests