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feat(faster-whisper): add backend
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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20
backend/python/faster-whisper/Makefile
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backend/python/faster-whisper/Makefile
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.DEFAULT_GOAL := install
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.PHONY: install
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install:
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bash install.sh
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$(MAKE) protogen
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.PHONY: protogen
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protogen: backend_pb2_grpc.py backend_pb2.py
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.PHONY: protogen-clean
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protogen-clean:
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$(RM) backend_pb2_grpc.py backend_pb2.py
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backend_pb2_grpc.py backend_pb2.py:
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bash protogen.sh
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.PHONY: clean
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clean: protogen-clean
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rm -rf venv __pycache__
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backend/python/faster-whisper/backend.py
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backend/python/faster-whisper/backend.py
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#!/usr/bin/env python3
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"""
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This is an extra gRPC server of LocalAI for Bark TTS
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"""
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from concurrent import futures
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import time
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import argparse
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import signal
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import sys
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import os
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import backend_pb2
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import backend_pb2_grpc
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from faster_whisper import WhisperModel
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import grpc
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_ONE_DAY_IN_SECONDS = 60 * 60 * 24
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# If MAX_WORKERS are specified in the environment use it, otherwise default to 1
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MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1'))
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COQUI_LANGUAGE = os.environ.get('COQUI_LANGUAGE', None)
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# Implement the BackendServicer class with the service methods
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class BackendServicer(backend_pb2_grpc.BackendServicer):
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"""
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BackendServicer is the class that implements the gRPC service
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"""
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def Health(self, request, context):
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return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
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def LoadModel(self, request, context):
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device = "cpu"
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# Get device
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# device = "cuda" if request.CUDA else "cpu"
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if request.CUDA:
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device = "cuda"
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try:
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print("Preparing models, please wait", file=sys.stderr)
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self.model = WhisperModel(request.Model, device=device, compute_type="float16")
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except Exception as err:
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return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
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# Implement your logic here for the LoadModel service
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# Replace this with your desired response
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return backend_pb2.Result(message="Model loaded successfully", success=True)
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def AudioTranscription(self, request, context):
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resultSegments = []
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text = ""
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try:
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segments, info = self.model.transcribe(request.dst, beam_size=5, condition_on_previous_text=False)
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id = 0
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for segment in segments:
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print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
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resultSegments.append(backend_pb2.TranscriptSegment(id=id, start=segment.start, end=segment.end, text=segment.text))
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text += segment.text
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id += 1
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except Exception as err:
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print(f"Unexpected {err=}, {type(err)=}", file=sys.stderr)
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return backend_pb2.TranscriptResult(segments=resultSegments, text=text)
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def serve(address):
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server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS))
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backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server)
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server.add_insecure_port(address)
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server.start()
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print("Server started. Listening on: " + address, file=sys.stderr)
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# Define the signal handler function
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def signal_handler(sig, frame):
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print("Received termination signal. Shutting down...")
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server.stop(0)
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sys.exit(0)
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# Set the signal handlers for SIGINT and SIGTERM
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signal.signal(signal.SIGINT, signal_handler)
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signal.signal(signal.SIGTERM, signal_handler)
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try:
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while True:
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time.sleep(_ONE_DAY_IN_SECONDS)
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except KeyboardInterrupt:
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server.stop(0)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Run the gRPC server.")
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parser.add_argument(
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"--addr", default="localhost:50051", help="The address to bind the server to."
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)
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args = parser.parse_args()
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serve(args.addr)
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backend/python/faster-whisper/install.sh
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backend/python/faster-whisper/install.sh
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#!/bin/bash
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set -e
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source $(dirname $0)/../common/libbackend.sh
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# This is here because the Intel pip index is broken and returns 200 status codes for every package name, it just doesn't return any package links.
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# This makes uv think that the package exists in the Intel pip index, and by default it stops looking at other pip indexes once it finds a match.
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# We need uv to continue falling through to the pypi default index to find optimum[openvino] in the pypi index
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# the --upgrade actually allows us to *downgrade* torch to the version provided in the Intel pip index
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if [ "x${BUILD_PROFILE}" == "xintel" ]; then
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EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
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fi
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installRequirements
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backend/python/faster-whisper/protogen.sh
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backend/python/faster-whisper/protogen.sh
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#!/bin/bash
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set -e
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source $(dirname $0)/../common/libbackend.sh
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python3 -m grpc_tools.protoc -I../.. --python_out=. --grpc_python_out=. backend.proto
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backend/python/faster-whisper/requirements-cpu.txt
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backend/python/faster-whisper/requirements-cpu.txt
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faster-whisper
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opencv-python
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accelerate
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compel
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peft
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sentencepiece
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torch==2.4.1
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optimum-quanto
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backend/python/faster-whisper/requirements-cublas11.txt
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backend/python/faster-whisper/requirements-cublas11.txt
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--extra-index-url https://download.pytorch.org/whl/cu118
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torch==2.4.1+cu118
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faster-whisper
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opencv-python
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accelerate
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compel
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peft
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sentencepiece
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optimum-quanto
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backend/python/faster-whisper/requirements-cublas12.txt
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backend/python/faster-whisper/requirements-cublas12.txt
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torch==2.4.1
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faster-whisper
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opencv-python
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accelerate
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compel
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peft
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sentencepiece
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optimum-quanto
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3
backend/python/faster-whisper/requirements-hipblas.txt
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3
backend/python/faster-whisper/requirements-hipblas.txt
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--extra-index-url https://download.pytorch.org/whl/rocm6.0
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torch
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faster-whisper
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backend/python/faster-whisper/requirements-intel.txt
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backend/python/faster-whisper/requirements-intel.txt
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--extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
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intel-extension-for-pytorch==2.3.110+xpu
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torch==2.3.1+cxx11.abi
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oneccl_bind_pt==2.3.100+xpu
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optimum[openvino]
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faster-whisper
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backend/python/faster-whisper/requirements.txt
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backend/python/faster-whisper/requirements.txt
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grpcio==1.69.0
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protobuf
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grpcio-tools
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backend/python/faster-whisper/run.sh
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backend/python/faster-whisper/run.sh
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#!/bin/bash
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source $(dirname $0)/../common/libbackend.sh
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startBackend $@
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backend/python/faster-whisper/test.sh
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backend/python/faster-whisper/test.sh
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#!/bin/bash
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set -e
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source $(dirname $0)/../common/libbackend.sh
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runUnittests
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