diff --git a/extra/grpc/ctransformers/Makefile b/extra/grpc/ctransformers/Makefile new file mode 100644 index 00000000000..1dd2b2f1a98 --- /dev/null +++ b/extra/grpc/ctransformers/Makefile @@ -0,0 +1,5 @@ +.PONY: ctransformers +ctransformers: + @echo "Creating virtual environment..." + @conda env create --name ctransformers --file ctransformers.yml + @echo "Virtual environment created." \ No newline at end of file diff --git a/extra/grpc/ctransformers/README.md b/extra/grpc/ctransformers/README.md new file mode 100644 index 00000000000..93027ed83ec --- /dev/null +++ b/extra/grpc/ctransformers/README.md @@ -0,0 +1,5 @@ +# Creating a separate environment for ctransformers project + +``` +make ctransformers +``` diff --git a/extra/grpc/ctransformers/backend_pb2.py b/extra/grpc/ctransformers/backend_pb2.py new file mode 100644 index 00000000000..12e8bf51e15 --- /dev/null +++ b/extra/grpc/ctransformers/backend_pb2.py @@ -0,0 +1,61 @@ +# -*- coding: utf-8 -*- +# Generated by the protocol buffer compiler. DO NOT EDIT! +# source: backend.proto +"""Generated protocol buffer code.""" +from google.protobuf import descriptor as _descriptor +from google.protobuf import descriptor_pool as _descriptor_pool +from google.protobuf import symbol_database as _symbol_database +from google.protobuf.internal import builder as _builder +# @@protoc_insertion_point(imports) + +_sym_db = _symbol_database.Default() + + + + +DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\rbackend.proto\x12\x07\x62\x61\x63kend\"\x0f\n\rHealthMessage\"\x96\x06\n\x0ePredictOptions\x12\x0e\n\x06Prompt\x18\x01 \x01(\t\x12\x0c\n\x04Seed\x18\x02 \x01(\x05\x12\x0f\n\x07Threads\x18\x03 \x01(\x05\x12\x0e\n\x06Tokens\x18\x04 \x01(\x05\x12\x0c\n\x04TopK\x18\x05 \x01(\x05\x12\x0e\n\x06Repeat\x18\x06 \x01(\x05\x12\r\n\x05\x42\x61tch\x18\x07 \x01(\x05\x12\r\n\x05NKeep\x18\x08 \x01(\x05\x12\x13\n\x0bTemperature\x18\t \x01(\x02\x12\x0f\n\x07Penalty\x18\n \x01(\x02\x12\r\n\x05\x46\x31\x36KV\x18\x0b \x01(\x08\x12\x11\n\tDebugMode\x18\x0c \x01(\x08\x12\x13\n\x0bStopPrompts\x18\r \x03(\t\x12\x11\n\tIgnoreEOS\x18\x0e \x01(\x08\x12\x19\n\x11TailFreeSamplingZ\x18\x0f \x01(\x02\x12\x10\n\x08TypicalP\x18\x10 \x01(\x02\x12\x18\n\x10\x46requencyPenalty\x18\x11 \x01(\x02\x12\x17\n\x0fPresencePenalty\x18\x12 \x01(\x02\x12\x10\n\x08Mirostat\x18\x13 \x01(\x05\x12\x13\n\x0bMirostatETA\x18\x14 \x01(\x02\x12\x13\n\x0bMirostatTAU\x18\x15 \x01(\x02\x12\x12\n\nPenalizeNL\x18\x16 \x01(\x08\x12\x11\n\tLogitBias\x18\x17 \x01(\t\x12\r\n\x05MLock\x18\x19 \x01(\x08\x12\x0c\n\x04MMap\x18\x1a \x01(\x08\x12\x16\n\x0ePromptCacheAll\x18\x1b \x01(\x08\x12\x15\n\rPromptCacheRO\x18\x1c \x01(\x08\x12\x0f\n\x07Grammar\x18\x1d \x01(\t\x12\x0f\n\x07MainGPU\x18\x1e \x01(\t\x12\x13\n\x0bTensorSplit\x18\x1f \x01(\t\x12\x0c\n\x04TopP\x18 \x01(\x02\x12\x17\n\x0fPromptCachePath\x18! \x01(\t\x12\r\n\x05\x44\x65\x62ug\x18\" \x01(\x08\x12\x17\n\x0f\x45mbeddingTokens\x18# \x03(\x05\x12\x12\n\nEmbeddings\x18$ \x01(\t\x12\x14\n\x0cRopeFreqBase\x18% \x01(\x02\x12\x15\n\rRopeFreqScale\x18& \x01(\x02\x12\x1b\n\x13NegativePromptScale\x18\' \x01(\x02\x12\x16\n\x0eNegativePrompt\x18( \x01(\t\x12\x0e\n\x06NDraft\x18) \x01(\x05\"\x18\n\x05Reply\x12\x0f\n\x07message\x18\x01 \x01(\x0c\"\x86\x06\n\x0cModelOptions\x12\r\n\x05Model\x18\x01 \x01(\t\x12\x13\n\x0b\x43ontextSize\x18\x02 \x01(\x05\x12\x0c\n\x04Seed\x18\x03 \x01(\x05\x12\x0e\n\x06NBatch\x18\x04 \x01(\x05\x12\x11\n\tF16Memory\x18\x05 \x01(\x08\x12\r\n\x05MLock\x18\x06 \x01(\x08\x12\x0c\n\x04MMap\x18\x07 \x01(\x08\x12\x11\n\tVocabOnly\x18\x08 \x01(\x08\x12\x0f\n\x07LowVRAM\x18\t \x01(\x08\x12\x12\n\nEmbeddings\x18\n \x01(\x08\x12\x0c\n\x04NUMA\x18\x0b \x01(\x08\x12\x12\n\nNGPULayers\x18\x0c \x01(\x05\x12\x0f\n\x07MainGPU\x18\r \x01(\t\x12\x13\n\x0bTensorSplit\x18\x0e \x01(\t\x12\x0f\n\x07Threads\x18\x0f \x01(\x05\x12\x19\n\x11LibrarySearchPath\x18\x10 \x01(\t\x12\x14\n\x0cRopeFreqBase\x18\x11 \x01(\x02\x12\x15\n\rRopeFreqScale\x18\x12 \x01(\x02\x12\x12\n\nRMSNormEps\x18\x13 \x01(\x02\x12\x0c\n\x04NGQA\x18\x14 \x01(\x05\x12\x11\n\tModelFile\x18\x15 \x01(\t\x12\x0e\n\x06\x44\x65vice\x18\x16 \x01(\t\x12\x11\n\tUseTriton\x18\x17 \x01(\x08\x12\x15\n\rModelBaseName\x18\x18 \x01(\t\x12\x18\n\x10UseFastTokenizer\x18\x19 \x01(\x08\x12\x14\n\x0cPipelineType\x18\x1a \x01(\t\x12\x15\n\rSchedulerType\x18\x1b \x01(\t\x12\x0c\n\x04\x43UDA\x18\x1c \x01(\x08\x12\x10\n\x08\x43\x46GScale\x18\x1d \x01(\x02\x12\x0f\n\x07IMG2IMG\x18\x1e \x01(\x08\x12\x11\n\tCLIPModel\x18\x1f \x01(\t\x12\x15\n\rCLIPSubfolder\x18 \x01(\t\x12\x10\n\x08\x43LIPSkip\x18! \x01(\x05\x12\x11\n\tTokenizer\x18\" \x01(\t\x12\x10\n\x08LoraBase\x18# \x01(\t\x12\x13\n\x0bLoraAdapter\x18$ \x01(\t\x12\x11\n\tNoMulMatQ\x18% \x01(\x08\x12\x12\n\nDraftModel\x18\' \x01(\t\x12\x11\n\tAudioPath\x18& \x01(\t\x12\x14\n\x0cQuantization\x18( \x01(\t\"*\n\x06Result\x12\x0f\n\x07message\x18\x01 \x01(\t\x12\x0f\n\x07success\x18\x02 \x01(\x08\"%\n\x0f\x45mbeddingResult\x12\x12\n\nembeddings\x18\x01 \x03(\x02\"C\n\x11TranscriptRequest\x12\x0b\n\x03\x64st\x18\x02 \x01(\t\x12\x10\n\x08language\x18\x03 \x01(\t\x12\x0f\n\x07threads\x18\x04 \x01(\r\"N\n\x10TranscriptResult\x12,\n\x08segments\x18\x01 \x03(\x0b\x32\x1a.backend.TranscriptSegment\x12\x0c\n\x04text\x18\x02 \x01(\t\"Y\n\x11TranscriptSegment\x12\n\n\x02id\x18\x01 \x01(\x05\x12\r\n\x05start\x18\x02 \x01(\x03\x12\x0b\n\x03\x65nd\x18\x03 \x01(\x03\x12\x0c\n\x04text\x18\x04 \x01(\t\x12\x0e\n\x06tokens\x18\x05 \x03(\x05\"\xd7\x01\n\x14GenerateImageRequest\x12\x0e\n\x06height\x18\x01 \x01(\x05\x12\r\n\x05width\x18\x02 \x01(\x05\x12\x0c\n\x04mode\x18\x03 \x01(\x05\x12\x0c\n\x04step\x18\x04 \x01(\x05\x12\x0c\n\x04seed\x18\x05 \x01(\x05\x12\x17\n\x0fpositive_prompt\x18\x06 \x01(\t\x12\x17\n\x0fnegative_prompt\x18\x07 \x01(\t\x12\x0b\n\x03\x64st\x18\x08 \x01(\t\x12\x0b\n\x03src\x18\t \x01(\t\x12\x18\n\x10\x45nableParameters\x18\n \x01(\t\x12\x10\n\x08\x43LIPSkip\x18\x0b \x01(\x05\"6\n\nTTSRequest\x12\x0c\n\x04text\x18\x01 \x01(\t\x12\r\n\x05model\x18\x02 \x01(\t\x12\x0b\n\x03\x64st\x18\x03 \x01(\t\"6\n\x14TokenizationResponse\x12\x0e\n\x06length\x18\x01 \x01(\x05\x12\x0e\n\x06tokens\x18\x02 \x03(\x05\"\x8e\x01\n\x0fMemoryUsageData\x12\r\n\x05total\x18\x01 \x01(\x04\x12:\n\tbreakdown\x18\x02 \x03(\x0b\x32\'.backend.MemoryUsageData.BreakdownEntry\x1a\x30\n\x0e\x42reakdownEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\x04:\x02\x38\x01\"\xad\x01\n\x0eStatusResponse\x12,\n\x05state\x18\x01 \x01(\x0e\x32\x1d.backend.StatusResponse.State\x12(\n\x06memory\x18\x02 \x01(\x0b\x32\x18.backend.MemoryUsageData\"C\n\x05State\x12\x11\n\rUNINITIALIZED\x10\x00\x12\x08\n\x04\x42USY\x10\x01\x12\t\n\x05READY\x10\x02\x12\x12\n\x05\x45RROR\x10\xff\xff\xff\xff\xff\xff\xff\xff\xff\x01\x32\xf4\x04\n\x07\x42\x61\x63kend\x12\x32\n\x06Health\x12\x16.backend.HealthMessage\x1a\x0e.backend.Reply\"\x00\x12\x34\n\x07Predict\x12\x17.backend.PredictOptions\x1a\x0e.backend.Reply\"\x00\x12\x35\n\tLoadModel\x12\x15.backend.ModelOptions\x1a\x0f.backend.Result\"\x00\x12<\n\rPredictStream\x12\x17.backend.PredictOptions\x1a\x0e.backend.Reply\"\x00\x30\x01\x12@\n\tEmbedding\x12\x17.backend.PredictOptions\x1a\x18.backend.EmbeddingResult\"\x00\x12\x41\n\rGenerateImage\x12\x1d.backend.GenerateImageRequest\x1a\x0f.backend.Result\"\x00\x12M\n\x12\x41udioTranscription\x12\x1a.backend.TranscriptRequest\x1a\x19.backend.TranscriptResult\"\x00\x12-\n\x03TTS\x12\x13.backend.TTSRequest\x1a\x0f.backend.Result\"\x00\x12J\n\x0eTokenizeString\x12\x17.backend.PredictOptions\x1a\x1d.backend.TokenizationResponse\"\x00\x12;\n\x06Status\x12\x16.backend.HealthMessage\x1a\x17.backend.StatusResponse\"\x00\x42Z\n\x19io.skynet.localai.backendB\x0eLocalAIBackendP\x01Z+github.com/go-skynet/LocalAI/pkg/grpc/protob\x06proto3') + +_globals = globals() +_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals) +_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'backend_pb2', _globals) +if _descriptor._USE_C_DESCRIPTORS == False: + + DESCRIPTOR._options = None + DESCRIPTOR._serialized_options = b'\n\031io.skynet.localai.backendB\016LocalAIBackendP\001Z+github.com/go-skynet/LocalAI/pkg/grpc/proto' + _MEMORYUSAGEDATA_BREAKDOWNENTRY._options = None + _MEMORYUSAGEDATA_BREAKDOWNENTRY._serialized_options = b'8\001' + _globals['_HEALTHMESSAGE']._serialized_start=26 + _globals['_HEALTHMESSAGE']._serialized_end=41 + _globals['_PREDICTOPTIONS']._serialized_start=44 + _globals['_PREDICTOPTIONS']._serialized_end=834 + _globals['_REPLY']._serialized_start=836 + _globals['_REPLY']._serialized_end=860 + _globals['_MODELOPTIONS']._serialized_start=863 + _globals['_MODELOPTIONS']._serialized_end=1637 + _globals['_RESULT']._serialized_start=1639 + _globals['_RESULT']._serialized_end=1681 + _globals['_EMBEDDINGRESULT']._serialized_start=1683 + _globals['_EMBEDDINGRESULT']._serialized_end=1720 + _globals['_TRANSCRIPTREQUEST']._serialized_start=1722 + _globals['_TRANSCRIPTREQUEST']._serialized_end=1789 + _globals['_TRANSCRIPTRESULT']._serialized_start=1791 + _globals['_TRANSCRIPTRESULT']._serialized_end=1869 + _globals['_TRANSCRIPTSEGMENT']._serialized_start=1871 + _globals['_TRANSCRIPTSEGMENT']._serialized_end=1960 + _globals['_GENERATEIMAGEREQUEST']._serialized_start=1963 + _globals['_GENERATEIMAGEREQUEST']._serialized_end=2178 + _globals['_TTSREQUEST']._serialized_start=2180 + _globals['_TTSREQUEST']._serialized_end=2234 + _globals['_TOKENIZATIONRESPONSE']._serialized_start=2236 + _globals['_TOKENIZATIONRESPONSE']._serialized_end=2290 + _globals['_MEMORYUSAGEDATA']._serialized_start=2293 + _globals['_MEMORYUSAGEDATA']._serialized_end=2435 + _globals['_MEMORYUSAGEDATA_BREAKDOWNENTRY']._serialized_start=2387 + _globals['_MEMORYUSAGEDATA_BREAKDOWNENTRY']._serialized_end=2435 + _globals['_STATUSRESPONSE']._serialized_start=2438 + _globals['_STATUSRESPONSE']._serialized_end=2611 + _globals['_STATUSRESPONSE_STATE']._serialized_start=2544 + _globals['_STATUSRESPONSE_STATE']._serialized_end=2611 + _globals['_BACKEND']._serialized_start=2614 + _globals['_BACKEND']._serialized_end=3242 +# @@protoc_insertion_point(module_scope) diff --git a/extra/grpc/ctransformers/backend_pb2_grpc.py b/extra/grpc/ctransformers/backend_pb2_grpc.py new file mode 100644 index 00000000000..79a7677fb27 --- /dev/null +++ b/extra/grpc/ctransformers/backend_pb2_grpc.py @@ -0,0 +1,363 @@ +# 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) diff --git a/extra/grpc/ctransformers/ctransformers.py b/extra/grpc/ctransformers/ctransformers.py new file mode 100644 index 00000000000..e5e21db8bc6 --- /dev/null +++ b/extra/grpc/ctransformers/ctransformers.py @@ -0,0 +1,98 @@ +""" +This is the extra gRPC server of LocalAI +""" +from concurrent import futures +import time +import argparse +import signal +import sys +import os + +import grpc +import backend_pb2 +import backend_pb2_grpc + +from ctransformers import AutoTokenizer, AutoModelForCausalLM + +# Adapted from https://github.com/marella/ctransformers/tree/main#supported-models +# License: MIT +# Adapted by AIsuko +class ModelType: + GPT = "gpt2" + GPT_J_GPT4_ALL_J= "gptj" + GPT_NEOX_STABLE_LM = "gpt_neox" + FALCON= "falcon" + LLaMA_LLaMA2 = "llama" + MPT="mpt" + STAR_CODER_CHAT="gpt_bigcode" + DOLLY_V2="dolly-v2" + REPLIT="replit" + + + + +_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')) + + +class BackendServicer(backend_pb2_grpc.BackendServicer): + """ + BackendServicer is the class that implements the gRPC service + """ + def Health(self, request, context): + return backend_pb2.Reply(message=bytes("OK", 'utf-8')) + + def LoadModel(self, request, context): + try: + model_path = request.Model + if not os.path.exists(model_path): + return backend_pb2.Result(success=False, message=f"Model path {model_path} does not exist") + + llm = AutoModelForCausalLM.from_pretrained(model_path) + + # AutoModelForCausalLM.from_pretrained + 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 Predict(self, request, context): + return super().Predict(request, context) + + def PredictStream(self, request, context): + return super().PredictStream(request, context) + + def TokenizeString(self, request, context): + return super().TokenizeString(request, context) + +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("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) \ No newline at end of file diff --git a/extra/grpc/ctransformers/ctransformers.yml b/extra/grpc/ctransformers/ctransformers.yml new file mode 100644 index 00000000000..ba66d279ee1 --- /dev/null +++ b/extra/grpc/ctransformers/ctransformers.yml @@ -0,0 +1,44 @@ +name: ctransformers +channels: + - defaults +dependencies: + - _libgcc_mutex=0.1=main + - _openmp_mutex=5.1=1_gnu + - bzip2=1.0.8=h7b6447c_0 + - ca-certificates=2023.08.22=h06a4308_0 + - ld_impl_linux-64=2.38=h1181459_1 + - libffi=3.4.4=h6a678d5_0 + - libgcc-ng=11.2.0=h1234567_1 + - libgomp=11.2.0=h1234567_1 + - libstdcxx-ng=11.2.0=h1234567_1 + - libuuid=1.41.5=h5eee18b_0 + - ncurses=6.4=h6a678d5_0 + - openssl=3.0.12=h7f8727e_0 + - pip=23.3=py311h06a4308_0 + - python=3.11.5=h955ad1f_0 + - readline=8.2=h5eee18b_0 + - setuptools=68.0.0=py311h06a4308_0 + - sqlite=3.41.2=h5eee18b_0 + - tk=8.6.12=h1ccaba5_0 + - tzdata=2023c=h04d1e81_0 + - wheel=0.41.2=py311h06a4308_0 + - xz=5.4.2=h5eee18b_0 + - zlib=1.2.13=h5eee18b_0 + - pip: + - certifi==2023.7.22 + - charset-normalizer==3.3.2 + - ctransformers==0.2.27+cu117 + - filelock==3.13.1 + - fsspec==2023.10.0 + - grpcio==1.59.2 + - huggingface-hub==0.18.0 + - idna==3.4 + - packaging==23.2 + - protobuf==4.25.0 + - py-cpuinfo==9.0.0 + - pyyaml==6.0.1 + - requests==2.31.0 + - tqdm==4.66.1 + - typing-extensions==4.8.0 + - urllib3==2.0.7 +prefix: /opt/conda/envs/ctransformers diff --git a/extra/grpc/ctransformers/run.sh b/extra/grpc/ctransformers/run.sh new file mode 100755 index 00000000000..d811706af9a --- /dev/null +++ b/extra/grpc/ctransformers/run.sh @@ -0,0 +1,14 @@ +#!/bin/bash + +## +## A bash script wrapper that runs the ctransformers server with conda + +export PATH=$PATH:/opt/conda/bin + +# Activate conda environment +source activate ctransformers + +# get the directory where the bash script is located +DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )" + +python $DIR/ctransformers.py $@ diff --git a/extra/requirements.txt b/extra/requirements.txt deleted file mode 100644 index fb3cc0122a9..00000000000 --- a/extra/requirements.txt +++ /dev/null @@ -1,7 +0,0 @@ -sentence_transformers -grpcio -google -protobuf -six -omegaconf -compel \ No newline at end of file