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feat: add vall-e-x (#1007)
**Description** This PR fixes #985 **Notes for Reviewers** **[Signed commits](../CONTRIBUTING.md#signing-off-on-commits-developer-certificate-of-origin)** - [ ] Yes, I signed my commits. <!-- Thank you for contributing to LocalAI! Contributing Conventions: 1. Include descriptive PR titles with [<component-name>] prepended. 2. Build and test your changes before submitting a PR. 3. Sign your commits By following the community's contribution conventions upfront, the review process will be accelerated and your PR merged more quickly. --> Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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@@ -11,7 +11,7 @@ ARG TARGETARCH
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ARG TARGETVARIANT
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ENV BUILD_TYPE=${BUILD_TYPE}
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ENV EXTERNAL_GRPC_BACKENDS="huggingface-embeddings:/build/extra/grpc/huggingface/huggingface.py,autogptq:/build/extra/grpc/autogptq/autogptq.py,bark:/build/extra/grpc/bark/ttsbark.py,diffusers:/build/extra/grpc/diffusers/backend_diffusers.py,exllama:/build/extra/grpc/exllama/exllama.py"
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ENV EXTERNAL_GRPC_BACKENDS="huggingface-embeddings:/build/extra/grpc/huggingface/huggingface.py,autogptq:/build/extra/grpc/autogptq/autogptq.py,bark:/build/extra/grpc/bark/ttsbark.py,diffusers:/build/extra/grpc/diffusers/backend_diffusers.py,exllama:/build/extra/grpc/exllama/exllama.py,vall-e-x:/build/extra/grpc/vall-e-x/ttsvalle.py"
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ENV GALLERIES='[{"name":"model-gallery", "url":"github:go-skynet/model-gallery/index.yaml"}, {"url": "github:go-skynet/model-gallery/huggingface.yaml","name":"huggingface"}]'
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ARG GO_TAGS="stablediffusion tts"
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@@ -47,6 +47,9 @@ RUN if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "amd64" ]; then \
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fi
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RUN pip install -r /build/extra/requirements.txt && rm -rf /build/extra/requirements.txt
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# Vall-e-X
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RUN git clone https://github.com/Plachtaa/VALL-E-X.git /usr/lib/vall-e-x && cd /usr/lib/vall-e-x && pip install -r requirements.txt
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WORKDIR /build
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# OpenBLAS requirements
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@@ -130,6 +133,10 @@ WORKDIR /build
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COPY . .
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RUN make prepare-sources
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COPY --from=builder /build/local-ai ./
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# Copy VALLE-X as it's not a real "lib"
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RUN cp -rfv /usr/lib/vall-e-x/* extra/grpc/vall-e-x/
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# To resolve exllama import error
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RUN if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH:-$(go env GOARCH)}" = "amd64" ]; then \
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cp -rfv /usr/local/lib/python3.9/dist-packages/exllama extra/grpc/exllama/;\
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@@ -357,6 +357,7 @@ protogen-python:
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python3 -m grpc_tools.protoc -Ipkg/grpc/proto/ --python_out=extra/grpc/exllama/ --grpc_python_out=extra/grpc/exllama/ pkg/grpc/proto/backend.proto
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python3 -m grpc_tools.protoc -Ipkg/grpc/proto/ --python_out=extra/grpc/bark/ --grpc_python_out=extra/grpc/bark/ pkg/grpc/proto/backend.proto
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python3 -m grpc_tools.protoc -Ipkg/grpc/proto/ --python_out=extra/grpc/diffusers/ --grpc_python_out=extra/grpc/diffusers/ pkg/grpc/proto/backend.proto
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python3 -m grpc_tools.protoc -Ipkg/grpc/proto/ --python_out=extra/grpc/vall-e-x/ --grpc_python_out=extra/grpc/vall-e-x/ pkg/grpc/proto/backend.proto
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## GRPC
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@@ -42,6 +42,7 @@ func gRPCModelOpts(c config.Config) *pb.ModelOptions {
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Seed: int32(c.Seed),
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NBatch: int32(b),
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NoMulMatQ: c.NoMulMatQ,
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AudioPath: c.VallE.AudioPath,
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LoraAdapter: c.LoraAdapter,
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LoraBase: c.LoraBase,
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NGQA: c.NGQA,
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@@ -43,6 +43,13 @@ type Config struct {
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// GRPC Options
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GRPC GRPC `yaml:"grpc"`
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// Vall-e-x
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VallE VallE `yaml:"vall-e"`
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}
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type VallE struct {
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AudioPath string `yaml:"audio_path"`
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}
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type FeatureFlag map[string]*bool
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File diff suppressed because one or more lines are too long.
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@@ -0,0 +1,363 @@
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# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
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"""Client and server classes corresponding to protobuf-defined services."""
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import grpc
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import backend_pb2 as backend__pb2
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class BackendStub(object):
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"""Missing associated documentation comment in .proto file."""
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def __init__(self, channel):
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"""Constructor.
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Args:
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channel: A grpc.Channel.
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"""
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self.Health = channel.unary_unary(
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'/backend.Backend/Health',
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request_serializer=backend__pb2.HealthMessage.SerializeToString,
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response_deserializer=backend__pb2.Reply.FromString,
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)
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self.Predict = channel.unary_unary(
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'/backend.Backend/Predict',
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request_serializer=backend__pb2.PredictOptions.SerializeToString,
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response_deserializer=backend__pb2.Reply.FromString,
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)
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self.LoadModel = channel.unary_unary(
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'/backend.Backend/LoadModel',
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request_serializer=backend__pb2.ModelOptions.SerializeToString,
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response_deserializer=backend__pb2.Result.FromString,
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)
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self.PredictStream = channel.unary_stream(
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'/backend.Backend/PredictStream',
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request_serializer=backend__pb2.PredictOptions.SerializeToString,
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response_deserializer=backend__pb2.Reply.FromString,
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)
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self.Embedding = channel.unary_unary(
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'/backend.Backend/Embedding',
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request_serializer=backend__pb2.PredictOptions.SerializeToString,
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response_deserializer=backend__pb2.EmbeddingResult.FromString,
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)
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self.GenerateImage = channel.unary_unary(
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'/backend.Backend/GenerateImage',
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request_serializer=backend__pb2.GenerateImageRequest.SerializeToString,
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response_deserializer=backend__pb2.Result.FromString,
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)
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self.AudioTranscription = channel.unary_unary(
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'/backend.Backend/AudioTranscription',
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request_serializer=backend__pb2.TranscriptRequest.SerializeToString,
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response_deserializer=backend__pb2.TranscriptResult.FromString,
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)
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self.TTS = channel.unary_unary(
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'/backend.Backend/TTS',
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request_serializer=backend__pb2.TTSRequest.SerializeToString,
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response_deserializer=backend__pb2.Result.FromString,
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)
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self.TokenizeString = channel.unary_unary(
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'/backend.Backend/TokenizeString',
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request_serializer=backend__pb2.PredictOptions.SerializeToString,
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response_deserializer=backend__pb2.TokenizationResponse.FromString,
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)
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self.Status = channel.unary_unary(
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'/backend.Backend/Status',
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request_serializer=backend__pb2.HealthMessage.SerializeToString,
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response_deserializer=backend__pb2.StatusResponse.FromString,
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)
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class BackendServicer(object):
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"""Missing associated documentation comment in .proto file."""
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def Health(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def Predict(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def LoadModel(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def PredictStream(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def Embedding(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def GenerateImage(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def AudioTranscription(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def TTS(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def TokenizeString(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def Status(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def add_BackendServicer_to_server(servicer, server):
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rpc_method_handlers = {
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'Health': grpc.unary_unary_rpc_method_handler(
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servicer.Health,
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request_deserializer=backend__pb2.HealthMessage.FromString,
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response_serializer=backend__pb2.Reply.SerializeToString,
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),
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'Predict': grpc.unary_unary_rpc_method_handler(
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servicer.Predict,
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request_deserializer=backend__pb2.PredictOptions.FromString,
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response_serializer=backend__pb2.Reply.SerializeToString,
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),
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'LoadModel': grpc.unary_unary_rpc_method_handler(
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servicer.LoadModel,
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request_deserializer=backend__pb2.ModelOptions.FromString,
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response_serializer=backend__pb2.Result.SerializeToString,
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),
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'PredictStream': grpc.unary_stream_rpc_method_handler(
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servicer.PredictStream,
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request_deserializer=backend__pb2.PredictOptions.FromString,
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response_serializer=backend__pb2.Reply.SerializeToString,
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),
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'Embedding': grpc.unary_unary_rpc_method_handler(
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servicer.Embedding,
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request_deserializer=backend__pb2.PredictOptions.FromString,
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response_serializer=backend__pb2.EmbeddingResult.SerializeToString,
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),
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'GenerateImage': grpc.unary_unary_rpc_method_handler(
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servicer.GenerateImage,
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request_deserializer=backend__pb2.GenerateImageRequest.FromString,
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response_serializer=backend__pb2.Result.SerializeToString,
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),
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'AudioTranscription': grpc.unary_unary_rpc_method_handler(
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servicer.AudioTranscription,
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request_deserializer=backend__pb2.TranscriptRequest.FromString,
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response_serializer=backend__pb2.TranscriptResult.SerializeToString,
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),
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'TTS': grpc.unary_unary_rpc_method_handler(
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servicer.TTS,
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request_deserializer=backend__pb2.TTSRequest.FromString,
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response_serializer=backend__pb2.Result.SerializeToString,
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),
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'TokenizeString': grpc.unary_unary_rpc_method_handler(
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servicer.TokenizeString,
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request_deserializer=backend__pb2.PredictOptions.FromString,
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response_serializer=backend__pb2.TokenizationResponse.SerializeToString,
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),
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'Status': grpc.unary_unary_rpc_method_handler(
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servicer.Status,
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request_deserializer=backend__pb2.HealthMessage.FromString,
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response_serializer=backend__pb2.StatusResponse.SerializeToString,
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),
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}
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generic_handler = grpc.method_handlers_generic_handler(
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'backend.Backend', rpc_method_handlers)
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server.add_generic_rpc_handlers((generic_handler,))
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# This class is part of an EXPERIMENTAL API.
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class Backend(object):
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"""Missing associated documentation comment in .proto file."""
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@staticmethod
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def Health(request,
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target,
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options=(),
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channel_credentials=None,
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call_credentials=None,
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insecure=False,
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compression=None,
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wait_for_ready=None,
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timeout=None,
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metadata=None):
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return grpc.experimental.unary_unary(request, target, '/backend.Backend/Health',
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backend__pb2.HealthMessage.SerializeToString,
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backend__pb2.Reply.FromString,
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options, channel_credentials,
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insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
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@staticmethod
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def Predict(request,
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target,
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options=(),
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channel_credentials=None,
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call_credentials=None,
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insecure=False,
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compression=None,
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wait_for_ready=None,
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timeout=None,
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metadata=None):
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return grpc.experimental.unary_unary(request, target, '/backend.Backend/Predict',
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backend__pb2.PredictOptions.SerializeToString,
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backend__pb2.Reply.FromString,
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options, channel_credentials,
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insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
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|
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@staticmethod
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def LoadModel(request,
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target,
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options=(),
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channel_credentials=None,
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call_credentials=None,
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insecure=False,
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compression=None,
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wait_for_ready=None,
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timeout=None,
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metadata=None):
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return grpc.experimental.unary_unary(request, target, '/backend.Backend/LoadModel',
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backend__pb2.ModelOptions.SerializeToString,
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backend__pb2.Result.FromString,
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options, channel_credentials,
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insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
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|
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@staticmethod
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def PredictStream(request,
|
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target,
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options=(),
|
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channel_credentials=None,
|
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call_credentials=None,
|
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insecure=False,
|
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compression=None,
|
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wait_for_ready=None,
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timeout=None,
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metadata=None):
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return grpc.experimental.unary_stream(request, target, '/backend.Backend/PredictStream',
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backend__pb2.PredictOptions.SerializeToString,
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backend__pb2.Reply.FromString,
|
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options, channel_credentials,
|
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insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
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|
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@staticmethod
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def Embedding(request,
|
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target,
|
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options=(),
|
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channel_credentials=None,
|
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call_credentials=None,
|
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insecure=False,
|
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compression=None,
|
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wait_for_ready=None,
|
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timeout=None,
|
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metadata=None):
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return grpc.experimental.unary_unary(request, target, '/backend.Backend/Embedding',
|
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backend__pb2.PredictOptions.SerializeToString,
|
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backend__pb2.EmbeddingResult.FromString,
|
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options, channel_credentials,
|
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insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
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|
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@staticmethod
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def GenerateImage(request,
|
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target,
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options=(),
|
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channel_credentials=None,
|
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call_credentials=None,
|
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insecure=False,
|
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compression=None,
|
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wait_for_ready=None,
|
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timeout=None,
|
||||
metadata=None):
|
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return grpc.experimental.unary_unary(request, target, '/backend.Backend/GenerateImage',
|
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backend__pb2.GenerateImageRequest.SerializeToString,
|
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backend__pb2.Result.FromString,
|
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options, channel_credentials,
|
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insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
|
||||
|
||||
@staticmethod
|
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def AudioTranscription(request,
|
||||
target,
|
||||
options=(),
|
||||
channel_credentials=None,
|
||||
call_credentials=None,
|
||||
insecure=False,
|
||||
compression=None,
|
||||
wait_for_ready=None,
|
||||
timeout=None,
|
||||
metadata=None):
|
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return grpc.experimental.unary_unary(request, target, '/backend.Backend/AudioTranscription',
|
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backend__pb2.TranscriptRequest.SerializeToString,
|
||||
backend__pb2.TranscriptResult.FromString,
|
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options, channel_credentials,
|
||||
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
|
||||
|
||||
@staticmethod
|
||||
def TTS(request,
|
||||
target,
|
||||
options=(),
|
||||
channel_credentials=None,
|
||||
call_credentials=None,
|
||||
insecure=False,
|
||||
compression=None,
|
||||
wait_for_ready=None,
|
||||
timeout=None,
|
||||
metadata=None):
|
||||
return grpc.experimental.unary_unary(request, target, '/backend.Backend/TTS',
|
||||
backend__pb2.TTSRequest.SerializeToString,
|
||||
backend__pb2.Result.FromString,
|
||||
options, channel_credentials,
|
||||
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
|
||||
|
||||
@staticmethod
|
||||
def TokenizeString(request,
|
||||
target,
|
||||
options=(),
|
||||
channel_credentials=None,
|
||||
call_credentials=None,
|
||||
insecure=False,
|
||||
compression=None,
|
||||
wait_for_ready=None,
|
||||
timeout=None,
|
||||
metadata=None):
|
||||
return grpc.experimental.unary_unary(request, target, '/backend.Backend/TokenizeString',
|
||||
backend__pb2.PredictOptions.SerializeToString,
|
||||
backend__pb2.TokenizationResponse.FromString,
|
||||
options, channel_credentials,
|
||||
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
|
||||
|
||||
@staticmethod
|
||||
def Status(request,
|
||||
target,
|
||||
options=(),
|
||||
channel_credentials=None,
|
||||
call_credentials=None,
|
||||
insecure=False,
|
||||
compression=None,
|
||||
wait_for_ready=None,
|
||||
timeout=None,
|
||||
metadata=None):
|
||||
return grpc.experimental.unary_unary(request, target, '/backend.Backend/Status',
|
||||
backend__pb2.HealthMessage.SerializeToString,
|
||||
backend__pb2.StatusResponse.FromString,
|
||||
options, channel_credentials,
|
||||
insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
|
||||
@@ -0,0 +1,91 @@
|
||||
#!/usr/bin/env python3
|
||||
import grpc
|
||||
from concurrent import futures
|
||||
import time
|
||||
import backend_pb2
|
||||
import backend_pb2_grpc
|
||||
import argparse
|
||||
import signal
|
||||
import sys
|
||||
import os
|
||||
from pathlib import Path
|
||||
|
||||
from utils.generation import SAMPLE_RATE, generate_audio, preload_models
|
||||
from scipy.io.wavfile import write as write_wav
|
||||
from utils.prompt_making import make_prompt
|
||||
|
||||
_ONE_DAY_IN_SECONDS = 60 * 60 * 24
|
||||
|
||||
# Implement the BackendServicer class with the service methods
|
||||
class BackendServicer(backend_pb2_grpc.BackendServicer):
|
||||
def Health(self, request, context):
|
||||
return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
|
||||
def LoadModel(self, request, context):
|
||||
model_name = request.Model
|
||||
try:
|
||||
print("Preparing models, please wait", file=sys.stderr)
|
||||
# download and load all models
|
||||
preload_models()
|
||||
|
||||
if request.AudioPath != "":
|
||||
print("Generating model", file=sys.stderr)
|
||||
make_prompt(name=model_name, audio_prompt_path=request.AudioPath)
|
||||
### Use given transcript
|
||||
##make_prompt(name=model_name, audio_prompt_path="paimon_prompt.wav",
|
||||
## transcript="Just, what was that? Paimon thought we were gonna get eaten.")
|
||||
except Exception as err:
|
||||
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
|
||||
# Implement your logic here for the LoadModel service
|
||||
# Replace this with your desired response
|
||||
return backend_pb2.Result(message="Model loaded successfully", success=True)
|
||||
|
||||
def TTS(self, request, context):
|
||||
model = request.model
|
||||
print(request, file=sys.stderr)
|
||||
try:
|
||||
audio_array = None
|
||||
if model != "":
|
||||
audio_array = generate_audio(request.text, prompt=model)
|
||||
else:
|
||||
audio_array = generate_audio(request.text)
|
||||
print("saving to", request.dst, file=sys.stderr)
|
||||
# save audio to disk
|
||||
write_wav(request.dst, SAMPLE_RATE, audio_array)
|
||||
print("saved to", request.dst, file=sys.stderr)
|
||||
print("tts for", 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=1))
|
||||
backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server)
|
||||
server.add_insecure_port(address)
|
||||
server.start()
|
||||
print("Server started. Listening on: " + address, file=sys.stderr)
|
||||
|
||||
# Define the signal handler function
|
||||
def signal_handler(sig, frame):
|
||||
print("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()
|
||||
|
||||
serve(args.addr)
|
||||
+135
-125
@@ -556,6 +556,7 @@ type ModelOptions struct {
|
||||
LoraBase string `protobuf:"bytes,35,opt,name=LoraBase,proto3" json:"LoraBase,omitempty"`
|
||||
LoraAdapter string `protobuf:"bytes,36,opt,name=LoraAdapter,proto3" json:"LoraAdapter,omitempty"`
|
||||
NoMulMatQ bool `protobuf:"varint,37,opt,name=NoMulMatQ,proto3" json:"NoMulMatQ,omitempty"`
|
||||
AudioPath string `protobuf:"bytes,38,opt,name=AudioPath,proto3" json:"AudioPath,omitempty"`
|
||||
}
|
||||
|
||||
func (x *ModelOptions) Reset() {
|
||||
@@ -849,6 +850,13 @@ func (x *ModelOptions) GetNoMulMatQ() bool {
|
||||
return false
|
||||
}
|
||||
|
||||
func (x *ModelOptions) GetAudioPath() string {
|
||||
if x != nil {
|
||||
return x.AudioPath
|
||||
}
|
||||
return ""
|
||||
}
|
||||
|
||||
type Result struct {
|
||||
state protoimpl.MessageState
|
||||
sizeCache protoimpl.SizeCache
|
||||
@@ -1589,7 +1597,7 @@ var file_pkg_grpc_proto_backend_proto_rawDesc = []byte{
|
||||
0x0e, 0x4e, 0x65, 0x67, 0x61, 0x74, 0x69, 0x76, 0x65, 0x50, 0x72, 0x6f, 0x6d, 0x70, 0x74, 0x22,
|
||||
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|
||||
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|
||||
0x67, 0x65, 0x22, 0xdc, 0x08, 0x0a, 0x0c, 0x4d, 0x6f, 0x64, 0x65, 0x6c, 0x4f, 0x70, 0x74, 0x69,
|
||||
0x67, 0x65, 0x22, 0xfa, 0x08, 0x0a, 0x0c, 0x4d, 0x6f, 0x64, 0x65, 0x6c, 0x4f, 0x70, 0x74, 0x69,
|
||||
0x6f, 0x6e, 0x73, 0x12, 0x14, 0x0a, 0x05, 0x4d, 0x6f, 0x64, 0x65, 0x6c, 0x18, 0x01, 0x20, 0x01,
|
||||
0x28, 0x09, 0x52, 0x05, 0x4d, 0x6f, 0x64, 0x65, 0x6c, 0x12, 0x20, 0x0a, 0x0b, 0x43, 0x6f, 0x6e,
|
||||
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|
||||
@@ -1659,131 +1667,133 @@ var file_pkg_grpc_proto_backend_proto_rawDesc = []byte{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
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|
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|
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|
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|
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|
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|
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|
||||
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|
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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}
|
||||
|
||||
var (
|
||||
|
||||
@@ -116,6 +116,8 @@ message ModelOptions {
|
||||
string LoraBase = 35;
|
||||
string LoraAdapter = 36;
|
||||
bool NoMulMatQ = 37;
|
||||
|
||||
string AudioPath = 38;
|
||||
}
|
||||
|
||||
message Result {
|
||||
|
||||
Reference in new issue
Block a user