链接到代码:
我使用googlespeechapi中的python示例代码将长(大于1分钟)音频文件从语音转换为文本。如何在PyCharm中运行代码,以便它使用我创建的API键(向我的帐户收费)将我的音频文件(wave格式)转换为文本,而不会出现“NoneType”错误?你知道吗
我将音频文件的路径直接添加到代码中(第73行)。我还在'path'前面添加了“--”,以使其处理LOC(第73行)。我得到的错误如下:
**C:\Users\Dave\AppData\Local\Programs\Python\Python37\python.exe C:/Users/Dave/Desktop/mizu/gcapi.py
Traceback (most recent call last):
File "C:/Users/Dave/Desktop/mizu/gcapi.py", line 75, in <module>
if args.path.startswith('gs://'):
AttributeError: 'NoneType' object has no attribute 'startswith'
Process finished with exit code1**
import argparse
import io
# [START speech_transcribe_async]
def transcribe_file(speech_file):
"""Transcribe the given audio file asynchronously."""
from google.cloud import speech
from google.cloud.speech import enums
from google.cloud.speech import types
client = speech.SpeechClient()
# [START speech_python_migration_async_request]
with io.open(speech_file, 'rb') as audio_file:
content = audio_file.read()
audio = types.RecognitionAudio(content=content)
config = types.RecognitionConfig(
encoding=enums.RecognitionConfig.AudioEncoding.LINEAR16,
sample_rate_hertz=16000,
language_code='en-US')
# [START speech_python_migration_async_response]
operation = client.long_running_recognize(config, audio)
# [END speech_python_migration_async_request]
print('Waiting for operation to complete...')
response = operation.result(timeout=90)
# Each result is for a consecutive portion of the audio. Iterate through
# them to get the transcripts for the entire audio file.
for result in response.results:
# The first alternative is the most likely one for this portion.
print(u'Transcript: {}'.format(result.alternatives[0].transcript))
print('Confidence: {}'.format(result.alternatives[0].confidence))
# [END speech_python_migration_async_response]
# [END speech_transcribe_async]
# [START speech_transcribe_async_gcs]
def transcribe_gcs(gcs_uri):
"""Asynchronously transcribes the audio file specified by the gcs_uri."""
from google.cloud import speech
from google.cloud.speech import enums
from google.cloud.speech import types
client = speech.SpeechClient()
audio = types.RecognitionAudio(uri=gcs_uri)
config = types.RecognitionConfig(
encoding=enums.RecognitionConfig.AudioEncoding.FLAC,
sample_rate_hertz=16000,
language_code='en-US')
operation = client.long_running_recognize(config, audio)
print('Waiting for operation to complete...')
response = operation.result(timeout=90)
# Each result is for a consecutive portion of the audio. Iterate through
# them to get the transcripts for the entire audio file.
for result in response.results:
# The first alternative is the most likely one for this portion.
print(u'Transcript: {}'.format(result.alternatives[0].transcript))
print('Confidence: {}'.format(result.alternatives[0].confidence))
# [END speech_transcribe_async_gcs]
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description=__doc__,
formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument(
'--path', help='C:/Users/Dave/Desktop/mizu/output.wav')
args = parser.parse_args()
if args.path.startswith('gs://'):
transcribe_gcs(args.path)
else:
transcribe_file(args.path)
我希望它能输出一个文件,其中包含正在转录的音频文件中的文本,并在此过程中向我的帐户计费。你知道吗
https://docs.python.org/3/library/argparse.html
通过
parser.add_argument(' path', help='C:/Users/Dave/Desktop/mizu/output.wav')
,您刚刚定义了脚本在从命令行调用参数path
之后可以接受该参数,并且如果有人用help
参数启动脚本,则该文本只是一个帮助文本。你知道吗因此,如果
if __name__ == '__main__'
所在的脚本具有myscript.py文件,您实际上必须像这样开始您的脚本:但是,这个例程在这种情况下没有任何意义,您的解决方案是去掉多余的代码。只需:
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