bofenghuang commited on
Commit
e50284d
·
1 Parent(s): a05267c

ignore gradio audio conversion warnings

Browse files
run_demo_file.py CHANGED
@@ -5,8 +5,7 @@ import gradio as gr
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  from transformers import pipeline
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  from transformers.utils.logging import disable_progress_bar
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- # warnings.filterwarnings("ignore")
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- warnings.filterwarnings("once")
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  disable_progress_bar()
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@@ -20,6 +19,7 @@ logger.setLevel(logging.DEBUG)
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  pipe = pipeline(model="bhuang/wav2vec2-xls-r-1b-cv9-fr")
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  logger.info("ASR pipeline has been initialized")
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  def transcribe(audio):
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  # text = pipe(audio, chunk_length_s=30, stride_length_s=5)["text"]
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  text = pipe(audio)["text"]
 
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  from transformers import pipeline
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  from transformers.utils.logging import disable_progress_bar
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+ warnings.filterwarnings("ignore")
 
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  disable_progress_bar()
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  pipe = pipeline(model="bhuang/wav2vec2-xls-r-1b-cv9-fr")
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  logger.info("ASR pipeline has been initialized")
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+
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  def transcribe(audio):
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  # text = pipe(audio, chunk_length_s=30, stride_length_s=5)["text"]
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  text = pipe(audio)["text"]
run_demo_microphone.py CHANGED
@@ -5,8 +5,7 @@ import gradio as gr
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  from transformers import pipeline
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  from transformers.utils.logging import disable_progress_bar
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- # warnings.filterwarnings("ignore")
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- warnings.filterwarnings("once")
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  disable_progress_bar()
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@@ -20,6 +19,7 @@ logger.setLevel(logging.DEBUG)
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  pipe = pipeline(model="bhuang/wav2vec2-xls-r-1b-cv9-fr")
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  logger.info("ASR pipeline has been initialized")
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  def transcribe(audio):
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  # text = pipe(audio, chunk_length_s=30, stride_length_s=5)["text"]
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  text = pipe(audio)["text"]
 
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  from transformers import pipeline
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  from transformers.utils.logging import disable_progress_bar
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+ warnings.filterwarnings("ignore")
 
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  disable_progress_bar()
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  pipe = pipeline(model="bhuang/wav2vec2-xls-r-1b-cv9-fr")
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  logger.info("ASR pipeline has been initialized")
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+
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  def transcribe(audio):
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  # text = pipe(audio, chunk_length_s=30, stride_length_s=5)["text"]
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  text = pipe(audio)["text"]
run_demo_microphone_streaming.py CHANGED
@@ -5,8 +5,7 @@ import gradio as gr
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  from transformers import pipeline
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  from transformers.utils.logging import disable_progress_bar
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- # warnings.filterwarnings("ignore")
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- warnings.filterwarnings("once")
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  disable_progress_bar()
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  from transformers import pipeline
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  from transformers.utils.logging import disable_progress_bar
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+ warnings.filterwarnings("ignore")
 
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  disable_progress_bar()
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