Signed-off-by: Ettore Di Giacinto <mudler@localai.io>renovate/github.com-nomic-ai-gpt4all-gpt4all-bindings-golang-digest
Ettore Di Giacinto
1 year ago
parent
94916749c5
commit
982a7e86a8
@ -0,0 +1,49 @@ |
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# -*- coding: utf-8 -*- |
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# Generated by the protocol buffer compiler. DO NOT EDIT! |
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# source: backend.proto |
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"""Generated protocol buffer code.""" |
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from google.protobuf import descriptor as _descriptor |
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from google.protobuf import descriptor_pool as _descriptor_pool |
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from google.protobuf import symbol_database as _symbol_database |
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from google.protobuf.internal import builder as _builder |
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# @@protoc_insertion_point(imports) |
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|
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_sym_db = _symbol_database.Default() |
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|
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|
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|
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|
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DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\rbackend.proto\x12\x07\x62\x61\x63kend\"\x0f\n\rHealthMessage\"\xa4\x05\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\"\x18\n\x05Reply\x12\x0f\n\x07message\x18\x01 \x01(\t\"\xac\x02\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\"*\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\"\x9e\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\"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(\t2\xeb\x03\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\x42Z\n\x19io.skynet.localai.backendB\x0eLocalAIBackendP\x01Z+github.com/go-skynet/LocalAI/pkg/grpc/protob\x06proto3') |
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_globals = globals() |
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_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals) |
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_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'backend_pb2', _globals) |
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if _descriptor._USE_C_DESCRIPTORS == False: |
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|
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DESCRIPTOR._options = None |
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DESCRIPTOR._serialized_options = b'\n\031io.skynet.localai.backendB\016LocalAIBackendP\001Z+github.com/go-skynet/LocalAI/pkg/grpc/proto' |
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_globals['_HEALTHMESSAGE']._serialized_start=26 |
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_globals['_HEALTHMESSAGE']._serialized_end=41 |
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_globals['_PREDICTOPTIONS']._serialized_start=44 |
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_globals['_PREDICTOPTIONS']._serialized_end=720 |
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_globals['_REPLY']._serialized_start=722 |
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_globals['_REPLY']._serialized_end=746 |
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_globals['_MODELOPTIONS']._serialized_start=749 |
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_globals['_MODELOPTIONS']._serialized_end=1049 |
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_globals['_RESULT']._serialized_start=1051 |
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_globals['_RESULT']._serialized_end=1093 |
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_globals['_EMBEDDINGRESULT']._serialized_start=1095 |
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_globals['_EMBEDDINGRESULT']._serialized_end=1132 |
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_globals['_TRANSCRIPTREQUEST']._serialized_start=1134 |
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_globals['_TRANSCRIPTREQUEST']._serialized_end=1201 |
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_globals['_TRANSCRIPTRESULT']._serialized_start=1203 |
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_globals['_TRANSCRIPTRESULT']._serialized_end=1281 |
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_globals['_TRANSCRIPTSEGMENT']._serialized_start=1283 |
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_globals['_TRANSCRIPTSEGMENT']._serialized_end=1372 |
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_globals['_GENERATEIMAGEREQUEST']._serialized_start=1375 |
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_globals['_GENERATEIMAGEREQUEST']._serialized_end=1533 |
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_globals['_TTSREQUEST']._serialized_start=1535 |
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_globals['_TTSREQUEST']._serialized_end=1589 |
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_globals['_BACKEND']._serialized_start=1592 |
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_globals['_BACKEND']._serialized_end=2083 |
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# @@protoc_insertion_point(module_scope) |
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@ -0,0 +1,297 @@ |
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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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|
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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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|
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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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|
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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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|
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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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|
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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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|
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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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|
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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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|
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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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} |
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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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|
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|
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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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|
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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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|
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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, |
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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) |
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|
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@staticmethod |
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def AudioTranscription(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/AudioTranscription', |
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backend__pb2.TranscriptRequest.SerializeToString, |
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backend__pb2.TranscriptResult.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 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) |
||||
@ -0,0 +1,67 @@ |
||||
#!/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 sentence_transformers import SentenceTransformer |
||||
|
||||
_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="OK") |
||||
def LoadModel(self, request, context): |
||||
model_name = request.Model |
||||
model_name = os.path.basename(model_name) |
||||
try: |
||||
self.model = SentenceTransformer(model_name) |
||||
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 Embedding(self, request, context): |
||||
# Implement your logic here for the Embedding service |
||||
# Replace this with your desired response |
||||
print("Calculated embeddings for: " + request.Embeddings, file=sys.stderr) |
||||
sentence_embeddings = self.model.encode(request.Embeddings) |
||||
return backend_pb2.EmbeddingResult(embeddings=sentence_embeddings) |
||||
|
||||
|
||||
def serve(address): |
||||
server = grpc.server(futures.ThreadPoolExecutor(max_workers=10)) |
||||
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) |
||||
@ -0,0 +1,4 @@ |
||||
sentence_transformers |
||||
grpcio |
||||
google |
||||
protobuf |
||||
Loading…
Reference in new issue