server Namespace Reference

Functions
	generate ()

Variables
	app = Flask(__name__)
int	PLUGIN_PARAM_COUNT = 9
str	MODEL_PATH = "../saved_models/my_plugin_ai.pth"
list	PARAM_KEYS
	device = torch.device('cpu')
	model = TextToParams(num_plugin_parameters=PLUGIN_PARAM_COUNT)
	tokenizer = AutoTokenizer.from_pretrained("prajjwal1/bert-tiny")
	port

Function Documentation

generate()

server.generate

(

)

Variable Documentation

app

server.app = Flask(__name__)

device

server.device = torch.device('cpu')

model

server.model = TextToParams(num_plugin_parameters=PLUGIN_PARAM_COUNT)

MODEL_PATH

str server.MODEL_PATH = "../saved_models/my_plugin_ai.pth"

PARAM_KEYS

list server.PARAM_KEYS

Initial value:

=  [
    "frequency", "attack", "cutoff", "decay",
    "volume", "sustain", "resonance", "release",
    "waveform"
]

PLUGIN_PARAM_COUNT

int server.PLUGIN_PARAM_COUNT = 9

port

server.port

tokenizer

server.tokenizer = AutoTokenizer.from_pretrained("prajjwal1/bert-tiny")