speechtotext.model.googleWrapper
Modelwrapper implemented for google STT API.
GOOGLE_APPLICATION_CREDENTIALS needs to be in the ‘.env’.
Use this module like this:
# Imports
from speechtotext.model.googleWrapper import *
from speechtotext.benchmark.benchmarks import *
from speechtotext.datasets import Dataset
# Create dataset
number_of_samples = 10
dataset = Dataset(path_to_dir="path/to/dir", name= "dataset_name")
id = "existing_audio_id"
number_of_samples = 10
# Create wrapper
googleWrapper = googleAPIVersion(googleAPIVersion.google_DEFAULT)
# Get model
googleWrapper.get_model()
# Benchmark choisen sample
googleWrapper.benchmark_sample(dataset, id)
# Benchmark n random samples
array = googleWrapper.benchmark_n_samples(dataset, number_of_samples)
Classes
Enum for the available google API models. |
|
Wrapper for google API. |