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()