LocalAI/backend/python/autogptq/backend_pb2_grpc.py

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc

import backend_pb2 as backend__pb2


class BackendStub(object):
    """Missing associated documentation comment in .proto file."""

    def __init__(self, channel):
        """Constructor.

        Args:
            channel: A grpc.Channel.
        """
        self.Health = channel.unary_unary(
                '/backend.Backend/Health',
                request_serializer=backend__pb2.HealthMessage.SerializeToString,
                response_deserializer=backend__pb2.Reply.FromString,
                )
        self.Predict = channel.unary_unary(
                '/backend.Backend/Predict',
                request_serializer=backend__pb2.PredictOptions.SerializeToString,
                response_deserializer=backend__pb2.Reply.FromString,
                )
        self.LoadModel = channel.unary_unary(
                '/backend.Backend/LoadModel',
                request_serializer=backend__pb2.ModelOptions.SerializeToString,
                response_deserializer=backend__pb2.Result.FromString,
                )
        self.PredictStream = channel.unary_stream(
                '/backend.Backend/PredictStream',
                request_serializer=backend__pb2.PredictOptions.SerializeToString,
                response_deserializer=backend__pb2.Reply.FromString,
                )
        self.Embedding = channel.unary_unary(
                '/backend.Backend/Embedding',
                request_serializer=backend__pb2.PredictOptions.SerializeToString,
                response_deserializer=backend__pb2.EmbeddingResult.FromString,
                )
        self.GenerateImage = channel.unary_unary(
                '/backend.Backend/GenerateImage',
                request_serializer=backend__pb2.GenerateImageRequest.SerializeToString,
                response_deserializer=backend__pb2.Result.FromString,
                )
        self.AudioTranscription = channel.unary_unary(
                '/backend.Backend/AudioTranscription',
                request_serializer=backend__pb2.TranscriptRequest.SerializeToString,
                response_deserializer=backend__pb2.TranscriptResult.FromString,
                )
        self.TTS = channel.unary_unary(
                '/backend.Backend/TTS',
                request_serializer=backend__pb2.TTSRequest.SerializeToString,
                response_deserializer=backend__pb2.Result.FromString,
                )
        self.TokenizeString = channel.unary_unary(
                '/backend.Backend/TokenizeString',
                request_serializer=backend__pb2.PredictOptions.SerializeToString,
                response_deserializer=backend__pb2.TokenizationResponse.FromString,
                )
        self.Status = channel.unary_unary(
                '/backend.Backend/Status',
                request_serializer=backend__pb2.HealthMessage.SerializeToString,
                response_deserializer=backend__pb2.StatusResponse.FromString,
                )


class BackendServicer(object):
    """Missing associated documentation comment in .proto file."""

    def Health(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def Predict(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def LoadModel(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def PredictStream(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def Embedding(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def GenerateImage(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def AudioTranscription(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def TTS(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def TokenizeString(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def Status(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')


def add_BackendServicer_to_server(servicer, server):
    rpc_method_handlers = {
            'Health': grpc.unary_unary_rpc_method_handler(
                    servicer.Health,
                    request_deserializer=backend__pb2.HealthMessage.FromString,
                    response_serializer=backend__pb2.Reply.SerializeToString,
            ),
            'Predict': grpc.unary_unary_rpc_method_handler(
                    servicer.Predict,
                    request_deserializer=backend__pb2.PredictOptions.FromString,
                    response_serializer=backend__pb2.Reply.SerializeToString,
            ),
            'LoadModel': grpc.unary_unary_rpc_method_handler(
                    servicer.LoadModel,
                    request_deserializer=backend__pb2.ModelOptions.FromString,
                    response_serializer=backend__pb2.Result.SerializeToString,
            ),
            'PredictStream': grpc.unary_stream_rpc_method_handler(
                    servicer.PredictStream,
                    request_deserializer=backend__pb2.PredictOptions.FromString,
                    response_serializer=backend__pb2.Reply.SerializeToString,
            ),
            'Embedding': grpc.unary_unary_rpc_method_handler(
                    servicer.Embedding,
                    request_deserializer=backend__pb2.PredictOptions.FromString,
                    response_serializer=backend__pb2.EmbeddingResult.SerializeToString,
            ),
            'GenerateImage': grpc.unary_unary_rpc_method_handler(
                    servicer.GenerateImage,
                    request_deserializer=backend__pb2.GenerateImageRequest.FromString,
                    response_serializer=backend__pb2.Result.SerializeToString,
            ),
            'AudioTranscription': grpc.unary_unary_rpc_method_handler(
                    servicer.AudioTranscription,
                    request_deserializer=backend__pb2.TranscriptRequest.FromString,
                    response_serializer=backend__pb2.TranscriptResult.SerializeToString,
            ),
            'TTS': grpc.unary_unary_rpc_method_handler(
                    servicer.TTS,
                    request_deserializer=backend__pb2.TTSRequest.FromString,
                    response_serializer=backend__pb2.Result.SerializeToString,
            ),
            'TokenizeString': grpc.unary_unary_rpc_method_handler(
                    servicer.TokenizeString,
                    request_deserializer=backend__pb2.PredictOptions.FromString,
                    response_serializer=backend__pb2.TokenizationResponse.SerializeToString,
            ),
            'Status': grpc.unary_unary_rpc_method_handler(
                    servicer.Status,
                    request_deserializer=backend__pb2.HealthMessage.FromString,
                    response_serializer=backend__pb2.StatusResponse.SerializeToString,
            ),
    }
    generic_handler = grpc.method_handlers_generic_handler(
            'backend.Backend', rpc_method_handlers)
    server.add_generic_rpc_handlers((generic_handler,))


 # This class is part of an EXPERIMENTAL API.
class Backend(object):
    """Missing associated documentation comment in .proto file."""

    @staticmethod
    def Health(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/Health',
            backend__pb2.HealthMessage.SerializeToString,
            backend__pb2.Reply.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def Predict(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/Predict',
            backend__pb2.PredictOptions.SerializeToString,
            backend__pb2.Reply.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def LoadModel(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/LoadModel',
            backend__pb2.ModelOptions.SerializeToString,
            backend__pb2.Result.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def PredictStream(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_stream(request, target, '/backend.Backend/PredictStream',
            backend__pb2.PredictOptions.SerializeToString,
            backend__pb2.Reply.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def Embedding(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/Embedding',
            backend__pb2.PredictOptions.SerializeToString,
            backend__pb2.EmbeddingResult.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def GenerateImage(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/GenerateImage',
            backend__pb2.GenerateImageRequest.SerializeToString,
            backend__pb2.Result.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def AudioTranscription(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/AudioTranscription',
            backend__pb2.TranscriptRequest.SerializeToString,
            backend__pb2.TranscriptResult.FromString,
            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)