bofenghuang commited on
Commit
a05267c
·
1 Parent(s): 9844004

disable prog bar and warning

Browse files
run_demo_file.py CHANGED
@@ -1,7 +1,14 @@
1
  import logging
 
2
 
3
  import gradio as gr
4
  from transformers import pipeline
 
 
 
 
 
 
5
 
6
  logging.basicConfig(
7
  format="%(asctime)s [%(levelname)s] [%(name)s] %(message)s",
@@ -11,7 +18,7 @@ logger = logging.getLogger(__name__)
11
  logger.setLevel(logging.DEBUG)
12
 
13
  pipe = pipeline(model="bhuang/wav2vec2-xls-r-1b-cv9-fr")
14
-
15
 
16
  def transcribe(audio):
17
  # text = pipe(audio, chunk_length_s=30, stride_length_s=5)["text"]
@@ -29,5 +36,5 @@ iface = gr.Interface(
29
  allow_flagging="never",
30
  )
31
 
32
- # iface.launch(server_name="0.0.0.0", debug=True, share=False)
33
  iface.launch()
 
1
  import logging
2
+ import warnings
3
 
4
  import gradio as gr
5
  from transformers import pipeline
6
+ from transformers.utils.logging import disable_progress_bar
7
+
8
+ # warnings.filterwarnings("ignore")
9
+ warnings.filterwarnings("once")
10
+
11
+ disable_progress_bar()
12
 
13
  logging.basicConfig(
14
  format="%(asctime)s [%(levelname)s] [%(name)s] %(message)s",
 
18
  logger.setLevel(logging.DEBUG)
19
 
20
  pipe = pipeline(model="bhuang/wav2vec2-xls-r-1b-cv9-fr")
21
+ logger.info("ASR pipeline has been initialized")
22
 
23
  def transcribe(audio):
24
  # text = pipe(audio, chunk_length_s=30, stride_length_s=5)["text"]
 
36
  allow_flagging="never",
37
  )
38
 
39
+ # iface.launch(server_name="0.0.0.0", debug=True, share=True)
40
  iface.launch()
run_demo_microphone.py CHANGED
@@ -1,7 +1,14 @@
1
  import logging
 
2
 
3
  import gradio as gr
4
  from transformers import pipeline
 
 
 
 
 
 
5
 
6
  logging.basicConfig(
7
  format="%(asctime)s [%(levelname)s] [%(name)s] %(message)s",
@@ -11,7 +18,7 @@ logger = logging.getLogger(__name__)
11
  logger.setLevel(logging.DEBUG)
12
 
13
  pipe = pipeline(model="bhuang/wav2vec2-xls-r-1b-cv9-fr")
14
-
15
 
16
  def transcribe(audio):
17
  # text = pipe(audio, chunk_length_s=30, stride_length_s=5)["text"]
@@ -29,5 +36,5 @@ iface = gr.Interface(
29
  allow_flagging="never",
30
  )
31
 
32
- # iface.launch(server_name="0.0.0.0", debug=True, share=False)
33
  iface.launch()
 
1
  import logging
2
+ import warnings
3
 
4
  import gradio as gr
5
  from transformers import pipeline
6
+ from transformers.utils.logging import disable_progress_bar
7
+
8
+ # warnings.filterwarnings("ignore")
9
+ warnings.filterwarnings("once")
10
+
11
+ disable_progress_bar()
12
 
13
  logging.basicConfig(
14
  format="%(asctime)s [%(levelname)s] [%(name)s] %(message)s",
 
18
  logger.setLevel(logging.DEBUG)
19
 
20
  pipe = pipeline(model="bhuang/wav2vec2-xls-r-1b-cv9-fr")
21
+ logger.info("ASR pipeline has been initialized")
22
 
23
  def transcribe(audio):
24
  # text = pipe(audio, chunk_length_s=30, stride_length_s=5)["text"]
 
36
  allow_flagging="never",
37
  )
38
 
39
+ # iface.launch(server_name="0.0.0.0", debug=True, share=True)
40
  iface.launch()
run_demo_microphone_streaming.py CHANGED
@@ -1,7 +1,14 @@
1
  import logging
 
2
 
3
  import gradio as gr
4
  from transformers import pipeline
 
 
 
 
 
 
5
 
6
  logging.basicConfig(
7
  format="%(asctime)s [%(levelname)s] [%(name)s] %(message)s",
@@ -11,6 +18,7 @@ logger = logging.getLogger(__name__)
11
  logger.setLevel(logging.DEBUG)
12
 
13
  pipe = pipeline(model="bhuang/wav2vec2-xls-r-1b-cv9-fr")
 
14
 
15
 
16
  def transcribe(audio, state=""):
@@ -31,4 +39,5 @@ iface = gr.Interface(
31
  live=True,
32
  )
33
 
 
34
  iface.launch()
 
1
  import logging
2
+ import warnings
3
 
4
  import gradio as gr
5
  from transformers import pipeline
6
+ from transformers.utils.logging import disable_progress_bar
7
+
8
+ # warnings.filterwarnings("ignore")
9
+ warnings.filterwarnings("once")
10
+
11
+ disable_progress_bar()
12
 
13
  logging.basicConfig(
14
  format="%(asctime)s [%(levelname)s] [%(name)s] %(message)s",
 
18
  logger.setLevel(logging.DEBUG)
19
 
20
  pipe = pipeline(model="bhuang/wav2vec2-xls-r-1b-cv9-fr")
21
+ logger.info("ASR pipeline has been initialized")
22
 
23
 
24
  def transcribe(audio, state=""):
 
39
  live=True,
40
  )
41
 
42
+ # iface.launch(server_name="0.0.0.0", debug=True, share=True)
43
  iface.launch()