favor existing arguments from parameters (kwargs) over global (args) #336
|
@ -4,8 +4,7 @@ from threading import Thread
|
||||||
|
|
||||||
from websockets.server import serve
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from websockets.server import serve
|
||||||
|
|
||||||
from utils import generate, get_autoregressive_models, get_voice_list
|
from utils import generate, get_autoregressive_models, get_voice_list, args
|
||||||
|
|
||||||
|
|
||||||
# this is a not so nice workaround to set values to None if their string value is "None"
|
# this is a not so nice workaround to set values to None if their string value is "None"
|
||||||
def replaceNoneStringWithNone(message):
|
def replaceNoneStringWithNone(message):
|
||||||
|
@ -19,6 +18,21 @@ def replaceNoneStringWithNone(message):
|
||||||
|
|
||||||
|
|
||||||
async def _handle_generate(websocket, message):
|
async def _handle_generate(websocket, message):
|
||||||
|
global args
|
||||||
|
|
||||||
|
# update args parameters which control the model settings
|
||||||
|
if message.get('autoregressive_model'):
|
||||||
|
args.autoregressive_model = message['autoregressive_model']
|
||||||
|
|
||||||
|
if message.get('diffusion_model'):
|
||||||
|
args.diffusion_model = message['diffusion_model']
|
||||||
|
|
||||||
|
if message.get('tokenizer_json'):
|
||||||
|
args.tokenizer_json = message['tokenizer_json']
|
||||||
|
|
||||||
|
if message.get('sample_batch_size'):
|
||||||
|
args.sample_batch_size = message['sample_batch_size']
|
||||||
|
|
||||||
message['result'] = generate(**message)
|
message['result'] = generate(**message)
|
||||||
await websocket.send(json.dumps(replaceNoneStringWithNone(message)))
|
await websocket.send(json.dumps(replaceNoneStringWithNone(message)))
|
||||||
|
|
||||||
|
|
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Reference in New Issue
Block a user