Spaces:
Configuration error
Configuration error
File size: 7,391 Bytes
651d019 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 |
#!/usr/bin/env python3
"""
Extra gRPC server for MusicgenForConditionalGeneration models.
"""
from concurrent import futures
import argparse
import signal
import sys
import os
import time
import backend_pb2
import backend_pb2_grpc
import grpc
from scipy.io import wavfile
from transformers import AutoProcessor, MusicgenForConditionalGeneration
_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'))
# Implement the BackendServicer class with the service methods
class BackendServicer(backend_pb2_grpc.BackendServicer):
"""
A gRPC servicer for the backend service.
This class implements the gRPC methods for the backend service, including Health, LoadModel, and Embedding.
"""
def Health(self, request, context):
"""
A gRPC method that returns the health status of the backend service.
Args:
request: A HealthRequest object that contains the request parameters.
context: A grpc.ServicerContext object that provides information about the RPC.
Returns:
A Reply object that contains the health status of the backend service.
"""
return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
def LoadModel(self, request, context):
"""
A gRPC method that loads a model into memory.
Args:
request: A LoadModelRequest object that contains the request parameters.
context: A grpc.ServicerContext object that provides information about the RPC.
Returns:
A Result object that contains the result of the LoadModel operation.
"""
model_name = request.Model
try:
self.processor = AutoProcessor.from_pretrained(model_name)
self.model = MusicgenForConditionalGeneration.from_pretrained(model_name)
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 SoundGeneration(self, request, context):
model_name = request.model
if model_name == "":
return backend_pb2.Result(success=False, message="request.model is required")
try:
self.processor = AutoProcessor.from_pretrained(model_name)
self.model = MusicgenForConditionalGeneration.from_pretrained(model_name)
inputs = None
if request.text == "":
inputs = self.model.get_unconditional_inputs(num_samples=1)
elif request.HasField('src'):
# TODO SECURITY CODE GOES HERE LOL
# WHO KNOWS IF THIS WORKS???
sample_rate, wsamples = wavfile.read('path_to_your_file.wav')
if request.HasField('src_divisor'):
wsamples = wsamples[: len(wsamples) // request.src_divisor]
inputs = self.processor(
audio=wsamples,
sampling_rate=sample_rate,
text=[request.text],
padding=True,
return_tensors="pt",
)
else:
inputs = self.processor(
text=[request.text],
padding=True,
return_tensors="pt",
)
tokens = 256
if request.HasField('duration'):
tokens = int(request.duration * 51.2) # 256 tokens = 5 seconds, therefore 51.2 tokens is one second
guidance = 3.0
if request.HasField('temperature'):
guidance = request.temperature
dosample = True
if request.HasField('sample'):
dosample = request.sample
audio_values = self.model.generate(**inputs, do_sample=dosample, guidance_scale=guidance, max_new_tokens=tokens)
print("[transformers-musicgen] SoundGeneration generated!", file=sys.stderr)
sampling_rate = self.model.config.audio_encoder.sampling_rate
wavfile.write(request.dst, rate=sampling_rate, data=audio_values[0, 0].numpy())
print("[transformers-musicgen] SoundGeneration saved to", request.dst, file=sys.stderr)
print("[transformers-musicgen] SoundGeneration for", file=sys.stderr)
print("[transformers-musicgen] SoundGeneration requested tokens", tokens, file=sys.stderr)
print(request, file=sys.stderr)
except Exception as err:
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
return backend_pb2.Result(success=True)
# The TTS endpoint is older, and provides fewer features, but exists for compatibility reasons
def TTS(self, request, context):
model_name = request.model
if model_name == "":
return backend_pb2.Result(success=False, message="request.model is required")
try:
self.processor = AutoProcessor.from_pretrained(model_name)
self.model = MusicgenForConditionalGeneration.from_pretrained(model_name)
inputs = self.processor(
text=[request.text],
padding=True,
return_tensors="pt",
)
tokens = 512 # No good place to set the "length" in TTS, so use 10s as a sane default
audio_values = self.model.generate(**inputs, max_new_tokens=tokens)
print("[transformers-musicgen] TTS generated!", file=sys.stderr)
sampling_rate = self.model.config.audio_encoder.sampling_rate
write_wav(request.dst, rate=sampling_rate, data=audio_values[0, 0].numpy())
print("[transformers-musicgen] TTS saved to", request.dst, file=sys.stderr)
print("[transformers-musicgen] TTS for", file=sys.stderr)
print(request, file=sys.stderr)
except Exception as err:
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
return backend_pb2.Result(success=True)
def serve(address):
server = grpc.server(futures.ThreadPoolExecutor(max_workers=MAX_WORKERS))
backend_pb2_grpc.add_BackendServicer_to_server(BackendServicer(), server)
server.add_insecure_port(address)
server.start()
print("[transformers-musicgen] Server started. Listening on: " + address, file=sys.stderr)
# Define the signal handler function
def signal_handler(sig, frame):
print("[transformers-musicgen] 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()
print(f"[transformers-musicgen] startup: {args}", file=sys.stderr)
serve(args.addr)
|