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| .DEFAULT_GOAL := install | ||
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| .PHONY: install | ||
| install: protogen | ||
| bash install.sh | ||
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| .PHONY: protogen | ||
| protogen: backend_pb2_grpc.py backend_pb2.py | ||
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| .PHONY: protogen-clean | ||
| protogen-clean: | ||
| $(RM) backend_pb2_grpc.py backend_pb2.py | ||
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| backend_pb2_grpc.py backend_pb2.py: | ||
| python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto | ||
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| .PHONY: clean | ||
| clean: protogen-clean | ||
| rm -rf venv __pycache__ |
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| #!/usr/bin/env python3 | ||
| """ | ||
| Extra gRPC server for OpenVoice models. | ||
| """ | ||
| from concurrent import futures | ||
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| 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 | ||
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| import time | ||
| import backend_pb2 | ||
| import backend_pb2_grpc | ||
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| import grpc | ||
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| _ONE_DAY_IN_SECONDS = 60 * 60 * 24 | ||
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| # 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')) | ||
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| # 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')) | ||
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| 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: | ||
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| 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 | ||
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| self.modelpath = request.ModelFile | ||
| self.speaker = request.Type | ||
| self.ClonedVoicePath = request.AudioPath | ||
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| 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') | ||
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| except Exception as err: | ||
| return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}") | ||
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| return backend_pb2.Result(message="Model loaded successfully", success=True) | ||
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| 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 | ||
| model = TTS(language=request.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) | ||
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| 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) | ||
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| 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) | ||
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| # Define the signal handler function | ||
| def signal_handler(sig, frame): | ||
| print("[OpenVoice] Received termination signal. Shutting down...") | ||
| server.stop(0) | ||
| sys.exit(0) | ||
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| # Set the signal handlers for SIGINT and SIGTERM | ||
| signal.signal(signal.SIGINT, signal_handler) | ||
| signal.signal(signal.SIGTERM, signal_handler) | ||
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| try: | ||
| while True: | ||
| time.sleep(_ONE_DAY_IN_SECONDS) | ||
| except KeyboardInterrupt: | ||
| server.stop(0) | ||
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| 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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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,16 @@ | ||
| #!/bin/bash | ||
| set -e | ||
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| source $(dirname $0)/../common/libbackend.sh | ||
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| # This is here because the Intel pip index is broken and returns 200 status codes for every package name, it just doesn't return any package links. | ||
| # This makes uv think that the package exists in the Intel pip index, and by default it stops looking at other pip indexes once it finds a match. | ||
| # We need uv to continue falling through to the pypi default index to find optimum[openvino] in the pypi index | ||
| # the --upgrade actually allows us to *downgrade* torch to the version provided in the Intel pip index | ||
| if [ "x${BUILD_PROFILE}" == "xintel" ]; then | ||
| EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match" | ||
| fi | ||
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| installRequirements | ||
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| python -m unidic download |
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| Original file line number | Diff line number | Diff line change |
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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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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,19 @@ | ||
| 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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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,4 @@ | ||
| #!/bin/bash | ||
| source $(dirname $0)/../common/libbackend.sh | ||
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| startBackend $@ |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,81 @@ | ||
| """ | ||
| A test script to test the gRPC service | ||
| """ | ||
| import unittest | ||
| import subprocess | ||
| import time | ||
| import backend_pb2 | ||
| import backend_pb2_grpc | ||
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| import grpc | ||
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| 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) | ||
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| def tearDown(self) -> None: | ||
| """ | ||
| This method tears down the gRPC service by terminating the server | ||
| """ | ||
| self.service.terminate() | ||
| self.service.wait() | ||
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| 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() | ||
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| 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")) | ||
| 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() | ||
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| 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") | ||
| 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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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,12 @@ | ||
| #!/bin/bash | ||
| set -e | ||
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| source $(dirname $0)/../common/libbackend.sh | ||
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| # 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 | ||
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| runUnittests |