rest-api-supporter 0.0.24

Rest api supporter

rest-api-supporter

https://pypi.org/project/rest-api-supporter/

pip install rest-api-supporter

Supported APIs

base64 encode

from PIL import Image
from rest_api_supporter.utils.base64_encode import base64_encode

image = Image.open("rock.jpg")
base64_encoded = base64_encode(image)
print(base64_encoded) #data:image/png;base64,/9j/4AAQSkZJRgABAQ...2qjR37P/2Q==

import datasets
from rest_api_supporter.utils.base64_encode import base64_encode

path = 'up.wav'
dataset = datasets.Dataset.from_dict({"audio": [path]})
dataset = dataset.cast_column("audio", datasets.Audio(sampling_rate=16_000)) #https://huggingface.co/blog/audio-datasets#1-resampling-the-audio-data
array = dataset[0]["audio"]["array"] #numpy array
#sampling_rate = dataset[0]["audio"]["sampling_rate"] #Wav2Vec2FeatureExtractor was trained using a sampling rate of 16000. Please make sure that the provided `raw_speech` input was sampled with 16000 and not 8000.
sampling_rate = 16000
base64_encoded = base64_encode(array) 
print(base64_encoded) #data:audio/wav;base64,UklGRiTuAgBXQVZFZm...At84WACNZGwA=

base64 decode

from rest_api_supporter.utils.base64_decode import base64_decode

print(full_encoded) #data:image/png;base64,/9j/4AAQSkZJRgABAQ...2qjR37P/2Q==
                     #data:audio/wav;base64,UklGRiTuAgBXQVZFZm...At84WACNZGwA=
                     #/9j/4AAQSkZJRgABAQ...2qjR37P/2Q==
base64_decoded = base64_decode(full_encoded)
print(type(base64_decoded)) #<class 'PIL.JpegImagePlugin.JpegImageFile'>
                            #<class 'bytes'>
                            #<class 'PIL.JpegImagePlugin.JpegImageFile'>