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import gradio
import Levenshtein
def calculate_distance(ocr_text, original_text):
ocr_string = ocr_text.replace("\n"," ")
original_string = original_text.replace("\n"," ")
distance = Levenshtein.distance(ocr_string.lower(),original_string.lower())
cer = round(((distance/len(original_string))*100),2)
accuracy = 100-cer
return f"The Character Error Rate (CER): {cer}\nThe Accuracy: {accuracy}"
iface = gradio.Interface(
fn=calculate_distance,
inputs=['text','text'],
outputs='text',
title='OCR Character Error Rate (CER) Calculation Using Levenshtein Distance ',
description="In this space, you can enter the OCR text result and the original text to calculate ")
iface.launch() |