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8d474c26
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体验新版 GitCode,发现更多精彩内容 >>
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8d474c26
编写于
2月 25, 2022
作者:
H
Hui Zhang
提交者:
GitHub
2月 25, 2022
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差异文件
Merge pull request #1482 from lym0302/servercli_update
[server] update server cli
上级
4d37777e
162361d8
变更
28
显示空白变更内容
内联
并排
Showing
28 changed file
with
196 addition
and
147 deletion
+196
-147
demos/speech_server/conf/application.yaml
demos/speech_server/conf/application.yaml
+12
-4
demos/speech_server/conf/asr/asr.yaml
demos/speech_server/conf/asr/asr.yaml
+4
-3
demos/speech_server/conf/asr/asr_pd.yaml
demos/speech_server/conf/asr/asr_pd.yaml
+25
-0
demos/speech_server/conf/tts/tts.yaml
demos/speech_server/conf/tts/tts.yaml
+1
-1
demos/speech_server/conf/tts/tts_pd.yaml
demos/speech_server/conf/tts/tts_pd.yaml
+10
-11
paddlespeech/server/bin/main.py
paddlespeech/server/bin/main.py
+1
-1
paddlespeech/server/bin/paddlespeech_client.py
paddlespeech/server/bin/paddlespeech_client.py
+11
-9
paddlespeech/server/bin/paddlespeech_server.py
paddlespeech/server/bin/paddlespeech_server.py
+7
-9
paddlespeech/server/conf/application.yaml
paddlespeech/server/conf/application.yaml
+9
-4
paddlespeech/server/conf/asr/asr.yaml
paddlespeech/server/conf/asr/asr.yaml
+1
-0
paddlespeech/server/conf/asr/asr_pd.yaml
paddlespeech/server/conf/asr/asr_pd.yaml
+1
-1
paddlespeech/server/conf/tts/tts.yaml
paddlespeech/server/conf/tts/tts.yaml
+1
-1
paddlespeech/server/conf/tts/tts_pd.yaml
paddlespeech/server/conf/tts/tts_pd.yaml
+12
-13
paddlespeech/server/engine/asr/paddleinference/asr_engine.py
paddlespeech/server/engine/asr/paddleinference/asr_engine.py
+15
-23
paddlespeech/server/engine/asr/python/asr_engine.py
paddlespeech/server/engine/asr/python/asr_engine.py
+4
-11
paddlespeech/server/engine/base_engine.py
paddlespeech/server/engine/base_engine.py
+0
-2
paddlespeech/server/engine/engine_factory.py
paddlespeech/server/engine/engine_factory.py
+0
-1
paddlespeech/server/engine/engine_pool.py
paddlespeech/server/engine/engine_pool.py
+4
-2
paddlespeech/server/engine/tts/paddleinference/tts_engine.py
paddlespeech/server/engine/tts/paddleinference/tts_engine.py
+11
-6
paddlespeech/server/engine/tts/python/tts_engine.py
paddlespeech/server/engine/tts/python/tts_engine.py
+17
-7
paddlespeech/server/restful/asr_api.py
paddlespeech/server/restful/asr_api.py
+2
-1
paddlespeech/server/restful/request.py
paddlespeech/server/restful/request.py
+0
-1
paddlespeech/server/restful/response.py
paddlespeech/server/restful/response.py
+0
-3
paddlespeech/server/restful/tts_api.py
paddlespeech/server/restful/tts_api.py
+31
-18
paddlespeech/server/tests/asr/http_client.py
paddlespeech/server/tests/asr/http_client.py
+11
-11
paddlespeech/server/tests/tts/test_client.py
paddlespeech/server/tests/tts/test_client.py
+2
-1
paddlespeech/server/util.py
paddlespeech/server/util.py
+1
-1
paddlespeech/server/utils/paddle_predictor.py
paddlespeech/server/utils/paddle_predictor.py
+3
-2
未找到文件。
demos/speech_server/conf/application.yaml
浏览文件 @
8d474c26
...
...
@@ -9,9 +9,17 @@ port: 8090
##################################################################
# CONFIG FILE #
##################################################################
# add engine type (Options: asr, tts) and config file here.
# The engine_type of speech task needs to keep the same type as the config file of speech task.
# E.g: The engine_type of asr is 'python', the engine_backend of asr is 'XX/asr.yaml'
# E.g: The engine_type of asr is 'inference', the engine_backend of asr is 'XX/asr_pd.yaml'
#
# add engine type (Options: python, inference)
engine_type
:
asr
:
'
inference'
tts
:
'
inference'
# add engine backend type (Options: asr, tts) and config file here.
# Adding a speech task to engine_backend means starting the service.
engine_backend
:
asr
:
'
conf/asr/asr.yaml'
tts
:
'
conf/tts/tts.yaml'
asr
:
'
conf/asr/asr_pd.yaml'
tts
:
'
conf/tts/tts_pd.yaml'
demos/speech_server/conf/asr/asr.yaml
浏览文件 @
8d474c26
model
:
'
conformer_wenetspeech'
lang
:
'
zh'
sample_rate
:
16000
cfg_path
:
ckpt_path
:
cfg_path
:
# [optional]
ckpt_path
:
# [optional]
decode_method
:
'
attention_rescoring'
force_yes
:
False
force_yes
:
True
device
:
'
cpu'
# set 'gpu:id' or 'cpu'
demos/speech_server/conf/asr/asr_pd.yaml
0 → 100644
浏览文件 @
8d474c26
# This is the parameter configuration file for ASR server.
# These are the static models that support paddle inference.
##################################################################
# ACOUSTIC MODEL SETTING #
# am choices=['deepspeech2offline_aishell'] TODO
##################################################################
model_type
:
'
deepspeech2offline_aishell'
am_model
:
# the pdmodel file of am static model [optional]
am_params
:
# the pdiparams file of am static model [optional]
lang
:
'
zh'
sample_rate
:
16000
cfg_path
:
decode_method
:
force_yes
:
True
am_predictor_conf
:
device
:
'
cpu'
# set 'gpu:id' or 'cpu'
enable_mkldnn
:
True
switch_ir_optim
:
True
##################################################################
# OTHERS #
##################################################################
demos/speech_server/conf/tts/tts.yaml
浏览文件 @
8d474c26
...
...
@@ -29,4 +29,4 @@ voc_stat:
# OTHERS #
##################################################################
lang
:
'
zh'
device
:
'
gpu:2
'
device
:
'
cpu'
# set 'gpu:id' or 'cpu
'
demos/speech_server/conf/tts/tts_pd.yaml
浏览文件 @
8d474c26
...
...
@@ -6,8 +6,8 @@
# am choices=['speedyspeech_csmsc', 'fastspeech2_csmsc']
##################################################################
am
:
'
fastspeech2_csmsc'
am_model
:
# the pdmodel file of
am static model
am_params
:
# the pdiparams file of
am static model
am_model
:
# the pdmodel file of
your am static model (XX.pdmodel)
am_params
:
# the pdiparams file of
your am static model (XX.pdipparams)
am_sample_rate
:
24000
phones_dict
:
tones_dict
:
...
...
@@ -15,9 +15,9 @@ speaker_dict:
spk_id
:
0
am_predictor_conf
:
use_gpu
:
True
enable_mkldnn
:
Tru
e
switch_ir_optim
:
Tru
e
device
:
'
cpu'
# set 'gpu:id' or 'cpu'
enable_mkldnn
:
Fals
e
switch_ir_optim
:
Fals
e
##################################################################
...
...
@@ -25,17 +25,16 @@ am_predictor_conf:
# voc choices=['pwgan_csmsc', 'mb_melgan_csmsc','hifigan_csmsc']
##################################################################
voc
:
'
pwgan_csmsc'
voc_model
:
# the pdmodel file of
vocoder static model
voc_params
:
# the pdiparams file of
vocoder static model
voc_model
:
# the pdmodel file of
your vocoder static model (XX.pdmodel)
voc_params
:
# the pdiparams file of
your vocoder static model (XX.pdipparams)
voc_sample_rate
:
24000
voc_predictor_conf
:
use_gpu
:
True
enable_mkldnn
:
Tru
e
switch_ir_optim
:
Tru
e
device
:
'
cpu'
# set 'gpu:id' or 'cpu'
enable_mkldnn
:
Fals
e
switch_ir_optim
:
Fals
e
##################################################################
# OTHERS #
##################################################################
lang
:
'
zh'
device
:
paddle.get_device()
paddlespeech/server/bin/main.py
浏览文件 @
8d474c26
...
...
@@ -12,8 +12,8 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import
argparse
import
uvicorn
import
yaml
from
fastapi
import
FastAPI
from
paddlespeech.server.engine.engine_pool
import
init_engine_pool
...
...
paddlespeech/server/bin/paddlespeech_client.py
浏览文件 @
8d474c26
...
...
@@ -48,8 +48,9 @@ class TTSClientExecutor(BaseExecutor):
self
.
parser
.
add_argument
(
'--input'
,
type
=
str
,
default
=
"你好,欢迎使用语音合成服务"
,
help
=
'A sentence to be synthesized.'
)
default
=
None
,
help
=
'Text to be synthesized.'
,
required
=
True
)
self
.
parser
.
add_argument
(
'--spk_id'
,
type
=
int
,
default
=
0
,
help
=
'Speaker id'
)
self
.
parser
.
add_argument
(
...
...
@@ -123,7 +124,7 @@ class TTSClientExecutor(BaseExecutor):
logger
.
info
(
"RTF: %f "
%
(
time_consume
/
duration
))
return
True
except
:
except
BaseException
:
logger
.
error
(
"Failed to synthesized audio."
)
return
False
...
...
@@ -163,7 +164,7 @@ class TTSClientExecutor(BaseExecutor):
print
(
"Audio duration: %f s."
%
(
duration
))
print
(
"Response time: %f s."
%
(
time_consume
))
print
(
"RTF: %f "
%
(
time_consume
/
duration
))
except
:
except
BaseException
:
print
(
"Failed to synthesized audio."
)
...
...
@@ -181,8 +182,9 @@ class ASRClientExecutor(BaseExecutor):
self
.
parser
.
add_argument
(
'--input'
,
type
=
str
,
default
=
"./paddlespeech/server/tests/16_audio.wav"
,
help
=
'Audio file to be recognized'
)
default
=
None
,
help
=
'Audio file to be recognized'
,
required
=
True
)
self
.
parser
.
add_argument
(
'--sample_rate'
,
type
=
int
,
default
=
16000
,
help
=
'audio sample rate'
)
self
.
parser
.
add_argument
(
...
...
@@ -209,7 +211,7 @@ class ASRClientExecutor(BaseExecutor):
logger
.
info
(
r
.
json
())
logger
.
info
(
"time cost %f s."
%
(
time_end
-
time_start
))
return
True
except
:
except
BaseException
:
logger
.
error
(
"Failed to speech recognition."
)
return
False
...
...
@@ -240,5 +242,5 @@ class ASRClientExecutor(BaseExecutor):
time_end
=
time
.
time
()
print
(
r
.
json
())
print
(
"time cost %f s."
%
(
time_end
-
time_start
))
except
:
except
BaseException
:
print
(
"Failed to speech recognition."
)
paddlespeech/server/bin/paddlespeech_server.py
浏览文件 @
8d474c26
...
...
@@ -20,7 +20,7 @@ from fastapi import FastAPI
from
..executor
import
BaseExecutor
from
..util
import
cli_server_register
from
..util
import
stats_wrapper
from
paddlespeech.server.engine.engine_
factory
import
EngineFactory
from
paddlespeech.server.engine.engine_
pool
import
init_engine_pool
from
paddlespeech.server.restful.api
import
setup_router
from
paddlespeech.server.utils.config
import
get_config
...
...
@@ -41,7 +41,8 @@ class ServerExecutor(BaseExecutor):
"--config_file"
,
action
=
"store"
,
help
=
"yaml file of the app"
,
default
=
"./conf/application.yaml"
)
default
=
None
,
required
=
True
)
self
.
parser
.
add_argument
(
"--log_file"
,
...
...
@@ -51,8 +52,10 @@ class ServerExecutor(BaseExecutor):
def
init
(
self
,
config
)
->
bool
:
"""system initialization
Args:
config (CfgNode): config object
Returns:
bool:
"""
...
...
@@ -61,12 +64,7 @@ class ServerExecutor(BaseExecutor):
api_router
=
setup_router
(
api_list
)
app
.
include_router
(
api_router
)
# init engine
engine_pool
=
[]
for
engine
in
config
.
engine_backend
:
engine_pool
.
append
(
EngineFactory
.
get_engine
(
engine_name
=
engine
))
if
not
engine_pool
[
-
1
].
init
(
config_file
=
config
.
engine_backend
[
engine
]):
if
not
init_engine_pool
(
config
):
return
False
return
True
...
...
paddlespeech/server/conf/application.yaml
浏览文件 @
8d474c26
...
...
@@ -9,12 +9,17 @@ port: 8090
##################################################################
# CONFIG FILE #
##################################################################
# The engine_type of speech task needs to keep the same type as the config file of speech task.
# E.g: The engine_type of asr is 'python', the engine_backend of asr is 'XX/asr.yaml'
# E.g: The engine_type of asr is 'inference', the engine_backend of asr is 'XX/asr_pd.yaml'
#
# add engine type (Options: python, inference)
engine_type
:
asr
:
'
inference
'
# tts: 'inference
'
asr
:
'
python
'
tts
:
'
python
'
# add engine backend type (Options: asr, tts) and config file here.
# Adding a speech task to engine_backend means starting the service.
engine_backend
:
asr
:
'
conf/asr/asr
_pd
.yaml'
#tts: 'conf/tts/tts_pd
.yaml'
asr
:
'
conf/asr/asr.yaml'
tts
:
'
conf/tts/tts
.yaml'
paddlespeech/server/conf/asr/asr.yaml
浏览文件 @
8d474c26
...
...
@@ -5,3 +5,4 @@ cfg_path: # [optional]
ckpt_path
:
# [optional]
decode_method
:
'
attention_rescoring'
force_yes
:
True
device
:
'
cpu'
# set 'gpu:id' or 'cpu'
paddlespeech/server/conf/asr/asr_pd.yaml
浏览文件 @
8d474c26
...
...
@@ -15,7 +15,7 @@ decode_method:
force_yes
:
True
am_predictor_conf
:
use_gpu
:
True
device
:
'
cpu'
# set 'gpu:id' or 'cpu'
enable_mkldnn
:
True
switch_ir_optim
:
True
...
...
paddlespeech/server/conf/tts/tts.yaml
浏览文件 @
8d474c26
...
...
@@ -29,4 +29,4 @@ voc_stat:
# OTHERS #
##################################################################
lang
:
'
zh'
device
:
paddle.get_device()
\ No newline at end of file
device
:
'
cpu'
# set 'gpu:id' or 'cpu'
paddlespeech/server/conf/tts/tts_pd.yaml
浏览文件 @
8d474c26
...
...
@@ -6,18 +6,18 @@
# am choices=['speedyspeech_csmsc', 'fastspeech2_csmsc']
##################################################################
am
:
'
fastspeech2_csmsc'
am_model
:
# the pdmodel file of
am static model
am_params
:
# the pdiparams file of
am static model
am_sample_rate
:
24000
am_model
:
# the pdmodel file of
your am static model (XX.pdmodel)
am_params
:
# the pdiparams file of
your am static model (XX.pdipparams)
am_sample_rate
:
24000
# must match the model
phones_dict
:
tones_dict
:
speaker_dict
:
spk_id
:
0
am_predictor_conf
:
use_gpu
:
True
enable_mkldnn
:
Tru
e
switch_ir_optim
:
Tru
e
device
:
'
cpu'
# set 'gpu:id' or 'cpu'
enable_mkldnn
:
Fals
e
switch_ir_optim
:
Fals
e
##################################################################
...
...
@@ -25,17 +25,16 @@ am_predictor_conf:
# voc choices=['pwgan_csmsc', 'mb_melgan_csmsc','hifigan_csmsc']
##################################################################
voc
:
'
pwgan_csmsc'
voc_model
:
# the pdmodel file of
vocoder static model
voc_params
:
# the pdiparams file of
vocoder static model
voc_sample_rate
:
24000
voc_model
:
# the pdmodel file of
your vocoder static model (XX.pdmodel)
voc_params
:
# the pdiparams file of
your vocoder static model (XX.pdipparams)
voc_sample_rate
:
24000
#must match the model
voc_predictor_conf
:
use_gpu
:
True
enable_mkldnn
:
True
switch_ir_optim
:
Tru
e
device
:
'
cpu'
# set 'gpu:id' or 'cpu'
enable_mkldnn
:
False
switch_ir_optim
:
Fals
e
##################################################################
# OTHERS #
##################################################################
lang
:
'
zh'
device
:
paddle.get_device()
paddlespeech/server/engine/asr/paddleinference/asr_engine.py
浏览文件 @
8d474c26
...
...
@@ -13,31 +13,24 @@
# limitations under the License.
import
io
import
os
from
typing
import
List
from
typing
import
Optional
from
typing
import
Union
import
librosa
import
paddle
import
soundfile
from
yacs.config
import
CfgNode
from
paddlespeech.cli.utils
import
MODEL_HOME
from
paddlespeech.s2t.modules.ctc
import
CTCDecoder
from
paddlespeech.cli.asr.infer
import
ASRExecutor
from
paddlespeech.cli.log
import
logger
from
paddlespeech.cli.utils
import
MODEL_HOME
from
paddlespeech.s2t.frontend.featurizer.text_featurizer
import
TextFeaturizer
from
paddlespeech.s2t.transform.transformation
import
Transformation
from
paddlespeech.s2t.utils.dynamic_import
import
dynamic_import
from
paddlespeech.s2t.modules.ctc
import
CTCDecoder
from
paddlespeech.s2t.utils.utility
import
UpdateConfig
from
paddlespeech.server.engine.base_engine
import
BaseEngine
from
paddlespeech.server.utils.config
import
get_config
from
paddlespeech.server.utils.paddle_predictor
import
init_predictor
from
paddlespeech.server.utils.paddle_predictor
import
run_model
from
paddlespeech.server.engine.base_engine
import
BaseEngine
__all__
=
[
'ASREngine'
]
pretrained_models
=
{
"deepspeech2offline_aishell-zh-16k"
:
{
'url'
:
...
...
@@ -143,7 +136,6 @@ class ASRServerExecutor(ASRExecutor):
batch_average
=
True
,
# sum / batch_size
grad_norm_type
=
self
.
config
.
get
(
'ctc_grad_norm_type'
,
None
))
@
paddle
.
no_grad
()
def
infer
(
self
,
model_type
:
str
):
"""
...
...
@@ -161,8 +153,7 @@ class ASRServerExecutor(ASRExecutor):
cfg
.
beam_size
,
cfg
.
cutoff_prob
,
cfg
.
cutoff_top_n
,
cfg
.
num_proc_bsearch
)
output_data
=
run_model
(
self
.
am_predictor
,
output_data
=
run_model
(
self
.
am_predictor
,
[
audio
.
numpy
(),
audio_len
.
numpy
()])
probs
=
output_data
[
0
]
...
...
@@ -230,7 +221,8 @@ class ASREngine(BaseEngine):
io
.
BytesIO
(
audio_data
),
self
.
config
.
sample_rate
,
self
.
config
.
force_yes
):
logger
.
info
(
"start running asr engine"
)
self
.
executor
.
preprocess
(
self
.
config
.
model_type
,
io
.
BytesIO
(
audio_data
))
self
.
executor
.
preprocess
(
self
.
config
.
model_type
,
io
.
BytesIO
(
audio_data
))
self
.
executor
.
infer
(
self
.
config
.
model_type
)
self
.
output
=
self
.
executor
.
postprocess
()
# Retrieve result of asr.
logger
.
info
(
"end inferring asr engine"
)
...
...
paddlespeech/server/engine/asr/python/asr_engine.py
浏览文件 @
8d474c26
...
...
@@ -12,21 +12,11 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import
io
import
os
from
typing
import
List
from
typing
import
Optional
from
typing
import
Union
import
librosa
import
paddle
import
soundfile
from
paddlespeech.cli.asr.infer
import
ASRExecutor
from
paddlespeech.cli.log
import
logger
from
paddlespeech.s2t.frontend.featurizer.text_featurizer
import
TextFeaturizer
from
paddlespeech.s2t.transform.transformation
import
Transformation
from
paddlespeech.s2t.utils.dynamic_import
import
dynamic_import
from
paddlespeech.s2t.utils.utility
import
UpdateConfig
from
paddlespeech.server.engine.base_engine
import
BaseEngine
from
paddlespeech.server.utils.config
import
get_config
...
...
@@ -63,7 +53,10 @@ class ASREngine(BaseEngine):
self
.
executor
=
ASRServerExecutor
()
self
.
config
=
get_config
(
config_file
)
if
self
.
config
.
device
is
None
:
paddle
.
set_device
(
paddle
.
get_device
())
else
:
paddle
.
set_device
(
self
.
config
.
device
)
self
.
executor
.
_init_from_path
(
self
.
config
.
model
,
self
.
config
.
lang
,
self
.
config
.
sample_rate
,
self
.
config
.
cfg_path
,
self
.
config
.
decode_method
,
...
...
paddlespeech/server/engine/base_engine.py
浏览文件 @
8d474c26
...
...
@@ -12,8 +12,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import
os
from
typing
import
Any
from
typing
import
List
from
typing
import
Union
from
pattern_singleton
import
Singleton
...
...
paddlespeech/server/engine/engine_factory.py
浏览文件 @
8d474c26
...
...
@@ -13,7 +13,6 @@
# limitations under the License.
from
typing
import
Text
__all__
=
[
'EngineFactory'
]
...
...
paddlespeech/server/engine/engine_pool.py
浏览文件 @
8d474c26
...
...
@@ -29,8 +29,10 @@ def init_engine_pool(config) -> bool:
"""
global
ENGINE_POOL
for
engine
in
config
.
engine_backend
:
ENGINE_POOL
[
engine
]
=
EngineFactory
.
get_engine
(
engine_name
=
engine
,
engine_type
=
config
.
engine_type
[
engine
])
if
not
ENGINE_POOL
[
engine
].
init
(
config_file
=
config
.
engine_backend
[
engine
]):
ENGINE_POOL
[
engine
]
=
EngineFactory
.
get_engine
(
engine_name
=
engine
,
engine_type
=
config
.
engine_type
[
engine
])
if
not
ENGINE_POOL
[
engine
].
init
(
config_file
=
config
.
engine_backend
[
engine
]):
return
False
return
True
paddlespeech/server/engine/tts/paddleinference/tts_engine.py
浏览文件 @
8d474c26
...
...
@@ -344,7 +344,6 @@ class TTSEngine(BaseEngine):
try
:
self
.
config
=
get_config
(
config_file
)
self
.
executor
.
_init_from_path
(
am
=
self
.
config
.
am
,
am_model
=
self
.
config
.
am_model
,
...
...
@@ -361,8 +360,8 @@ class TTSEngine(BaseEngine):
am_predictor_conf
=
self
.
config
.
am_predictor_conf
,
voc_predictor_conf
=
self
.
config
.
voc_predictor_conf
,
)
except
:
logger
.
info
(
"Initialize TTS server engine Failed."
)
except
BaseException
:
logger
.
error
(
"Initialize TTS server engine Failed."
)
return
False
logger
.
info
(
"Initialize TTS server engine successfully."
)
...
...
@@ -406,11 +405,13 @@ class TTSEngine(BaseEngine):
# transform speed
try
:
# windows not support soxbindings
wav_speed
=
change_speed
(
wav_vol
,
speed
,
target_fs
)
except
:
except
ServerBaseException
:
raise
ServerBaseException
(
ErrorCode
.
SERVER_INTERNAL_ERR
,
"Transform speed failed. Can not install soxbindings on your system.
\
You need to set speed value 1.0."
)
except
BaseException
:
logger
.
error
(
"Transform speed failed."
)
# wav to base64
buf
=
io
.
BytesIO
()
...
...
@@ -463,9 +464,11 @@ class TTSEngine(BaseEngine):
try
:
self
.
executor
.
infer
(
text
=
sentence
,
lang
=
lang
,
am
=
self
.
config
.
am
,
spk_id
=
spk_id
)
except
:
except
ServerBaseException
:
raise
ServerBaseException
(
ErrorCode
.
SERVER_INTERNAL_ERR
,
"tts infer failed."
)
except
BaseException
:
logger
.
error
(
"tts infer failed."
)
try
:
target_sample_rate
,
wav_base64
=
self
.
postprocess
(
...
...
@@ -475,8 +478,10 @@ class TTSEngine(BaseEngine):
volume
=
volume
,
speed
=
speed
,
audio_path
=
save_path
)
except
:
except
ServerBaseException
:
raise
ServerBaseException
(
ErrorCode
.
SERVER_INTERNAL_ERR
,
"tts postprocess failed."
)
except
BaseException
:
logger
.
error
(
"tts postprocess failed."
)
return
lang
,
target_sample_rate
,
wav_base64
paddlespeech/server/engine/tts/python/tts_engine.py
浏览文件 @
8d474c26
...
...
@@ -54,6 +54,9 @@ class TTSEngine(BaseEngine):
try
:
self
.
config
=
get_config
(
config_file
)
if
self
.
config
.
device
is
None
:
paddle
.
set_device
(
paddle
.
get_device
())
else
:
paddle
.
set_device
(
self
.
config
.
device
)
self
.
executor
.
_init_from_path
(
...
...
@@ -69,8 +72,8 @@ class TTSEngine(BaseEngine):
voc_ckpt
=
self
.
config
.
voc_ckpt
,
voc_stat
=
self
.
config
.
voc_stat
,
lang
=
self
.
config
.
lang
)
except
:
logger
.
info
(
"Initialize TTS server engine Failed."
)
except
BaseException
:
logger
.
error
(
"Initialize TTS server engine Failed."
)
return
False
logger
.
info
(
"Initialize TTS server engine successfully."
)
...
...
@@ -114,10 +117,13 @@ class TTSEngine(BaseEngine):
# transform speed
try
:
# windows not support soxbindings
wav_speed
=
change_speed
(
wav_vol
,
speed
,
target_fs
)
except
:
except
ServerBaseException
:
raise
ServerBaseException
(
ErrorCode
.
SERVER_INTERNAL_ERR
,
"Can not install soxbindings on your system."
)
"Transform speed failed. Can not install soxbindings on your system.
\
You need to set speed value 1.0."
)
except
BaseException
:
logger
.
error
(
"Transform speed failed."
)
# wav to base64
buf
=
io
.
BytesIO
()
...
...
@@ -170,9 +176,11 @@ class TTSEngine(BaseEngine):
try
:
self
.
executor
.
infer
(
text
=
sentence
,
lang
=
lang
,
am
=
self
.
config
.
am
,
spk_id
=
spk_id
)
except
:
except
ServerBaseException
:
raise
ServerBaseException
(
ErrorCode
.
SERVER_INTERNAL_ERR
,
"tts infer failed."
)
except
BaseException
:
logger
.
error
(
"tts infer failed."
)
try
:
target_sample_rate
,
wav_base64
=
self
.
postprocess
(
...
...
@@ -182,8 +190,10 @@ class TTSEngine(BaseEngine):
volume
=
volume
,
speed
=
speed
,
audio_path
=
save_path
)
except
:
except
ServerBaseException
:
raise
ServerBaseException
(
ErrorCode
.
SERVER_INTERNAL_ERR
,
"tts postprocess failed."
)
except
BaseException
:
logger
.
error
(
"tts postprocess failed."
)
return
lang
,
target_sample_rate
,
wav_base64
paddlespeech/server/restful/asr_api.py
浏览文件 @
8d474c26
...
...
@@ -14,6 +14,7 @@
import
base64
import
traceback
from
typing
import
Union
from
fastapi
import
APIRouter
from
paddlespeech.server.engine.engine_pool
import
get_engine_pool
...
...
@@ -83,7 +84,7 @@ def asr(request_body: ASRRequest):
except
ServerBaseException
as
e
:
response
=
failed_response
(
e
.
error_code
,
e
.
msg
)
except
:
except
BaseException
:
response
=
failed_response
(
ErrorCode
.
SERVER_UNKOWN_ERR
)
traceback
.
print_exc
()
...
...
paddlespeech/server/restful/request.py
浏览文件 @
8d474c26
...
...
@@ -11,7 +11,6 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from
typing
import
List
from
typing
import
Optional
from
pydantic
import
BaseModel
...
...
paddlespeech/server/restful/response.py
浏览文件 @
8d474c26
...
...
@@ -11,9 +11,6 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from
typing
import
List
from
typing
import
Optional
from
pydantic
import
BaseModel
__all__
=
[
'ASRResponse'
,
'TTSResponse'
]
...
...
paddlespeech/server/restful/tts_api.py
浏览文件 @
8d474c26
...
...
@@ -16,7 +16,7 @@ from typing import Union
from
fastapi
import
APIRouter
from
paddlespeech.server.engine.
tts.paddleinference.tts_engine
import
TTSEngine
from
paddlespeech.server.engine.
engine_pool
import
get_engine_pool
from
paddlespeech.server.restful.request
import
TTSRequest
from
paddlespeech.server.restful.response
import
ErrorResponse
from
paddlespeech.server.restful.response
import
TTSResponse
...
...
@@ -60,28 +60,41 @@ def tts(request_body: TTSRequest):
Returns:
json: [description]
"""
# json to dict
item_dict
=
request_body
.
dict
()
sentence
=
item_dict
[
'text'
]
spk_id
=
item_dict
[
'spk_id'
]
speed
=
item_dict
[
'speed'
]
volume
=
item_dict
[
'volume'
]
sample_rate
=
item_dict
[
'sample_rate'
]
save_path
=
item_dict
[
'save_path'
]
# get params
text
=
request_body
.
text
spk_id
=
request_body
.
spk_id
speed
=
request_body
.
speed
volume
=
request_body
.
volume
sample_rate
=
request_body
.
sample_rate
save_path
=
request_body
.
save_path
# Check parameters
if
speed
<=
0
or
speed
>
3
or
volume
<=
0
or
volume
>
3
or
\
sample_rate
not
in
[
0
,
16000
,
8000
]
or
\
(
save_path
is
not
None
and
not
save_path
.
endswith
(
"pcm"
)
and
not
save_path
.
endswith
(
"wav"
)):
return
failed_response
(
ErrorCode
.
SERVER_PARAM_ERR
)
# single
tts_engine
=
TTSEngine
()
if
speed
<=
0
or
speed
>
3
:
return
failed_response
(
ErrorCode
.
SERVER_PARAM_ERR
,
"invalid speed value, the value should be between 0 and 3."
)
if
volume
<=
0
or
volume
>
3
:
return
failed_response
(
ErrorCode
.
SERVER_PARAM_ERR
,
"invalid volume value, the value should be between 0 and 3."
)
if
sample_rate
not
in
[
0
,
16000
,
8000
]:
return
failed_response
(
ErrorCode
.
SERVER_PARAM_ERR
,
"invalid sample_rate value, the choice of value is 0, 8000, 16000."
)
if
save_path
is
not
None
and
not
save_path
.
endswith
(
"pcm"
)
and
not
save_path
.
endswith
(
"wav"
):
return
failed_response
(
ErrorCode
.
SERVER_PARAM_ERR
,
"invalid save_path, saved audio formats support pcm and wav"
)
# run
try
:
# get single engine from engine pool
engine_pool
=
get_engine_pool
()
tts_engine
=
engine_pool
[
'tts'
]
lang
,
target_sample_rate
,
wav_base64
=
tts_engine
.
run
(
sentence
,
spk_id
,
speed
,
volume
,
sample_rate
,
save_path
)
text
,
spk_id
,
speed
,
volume
,
sample_rate
,
save_path
)
response
=
{
"success"
:
True
,
...
...
@@ -101,7 +114,7 @@ def tts(request_body: TTSRequest):
}
except
ServerBaseException
as
e
:
response
=
failed_response
(
e
.
error_code
,
e
.
msg
)
except
:
except
BaseException
:
response
=
failed_response
(
ErrorCode
.
SERVER_UNKOWN_ERR
)
traceback
.
print_exc
()
...
...
paddlespeech/server/tests/asr/http_client.py
浏览文件 @
8d474c26
...
...
@@ -10,11 +10,11 @@
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the
import
requests
import
base64
import
json
import
time
import
base64
import
io
import
requests
def
readwav2base64
(
wav_file
):
...
...
@@ -34,7 +34,7 @@ def main():
url
=
"http://127.0.0.1:8090/paddlespeech/asr"
# start Timestamp
time_start
=
time
.
time
()
time_start
=
time
.
time
()
test_audio_dir
=
"./16_audio.wav"
audio
=
readwav2base64
(
test_audio_dir
)
...
...
@@ -49,8 +49,8 @@ def main():
r
=
requests
.
post
(
url
=
url
,
data
=
json
.
dumps
(
data
))
# ending Timestamp
time_end
=
time
.
time
()
print
(
'time cost'
,
time_end
-
time_start
,
's'
)
time_end
=
time
.
time
()
print
(
'time cost'
,
time_end
-
time_start
,
's'
)
print
(
r
.
json
())
...
...
paddlespeech/server/tests/tts/test_client.py
浏览文件 @
8d474c26
...
...
@@ -25,6 +25,7 @@ import soundfile
from
paddlespeech.server.utils.audio_process
import
wav2pcm
# Request and response
def
tts_client
(
args
):
""" Request and response
...
...
@@ -99,5 +100,5 @@ if __name__ == "__main__":
print
(
"Inference time: %f"
%
(
time_consume
))
print
(
"The duration of synthesized audio: %f"
%
(
duration
))
print
(
"The RTF is: %f"
%
(
rtf
))
except
:
except
BaseException
:
print
(
"Failed to synthesized audio."
)
paddlespeech/server/util.py
浏览文件 @
8d474c26
...
...
@@ -219,7 +219,7 @@ class ConfigCache:
try
:
cfg
=
yaml
.
load
(
file
,
Loader
=
yaml
.
FullLoader
)
self
.
_data
.
update
(
cfg
)
except
:
except
BaseException
:
self
.
flush
()
@
property
...
...
paddlespeech/server/utils/paddle_predictor.py
浏览文件 @
8d474c26
...
...
@@ -41,8 +41,9 @@ def init_predictor(model_dir: Optional[os.PathLike]=None,
config
=
Config
(
model_file
,
params_file
)
config
.
enable_memory_optim
()
if
predictor_conf
[
"use_gpu"
]:
config
.
enable_use_gpu
(
1000
,
0
)
if
"gpu"
in
predictor_conf
[
"device"
]:
gpu_id
=
predictor_conf
[
"device"
].
split
(
":"
)[
-
1
]
config
.
enable_use_gpu
(
1000
,
int
(
gpu_id
))
if
predictor_conf
[
"enable_mkldnn"
]:
config
.
enable_mkldnn
()
if
predictor_conf
[
"switch_ir_optim"
]:
...
...
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