app.py

import gradio as gr
import easyocr
import numpy as np

def perform_ocr(image):
    reader = easyocr.Reader(['en'])
    result = reader.readtext(image, paragraph=False) 
    return result

def perform_ocr1(image):
    reader = easyocr.Reader(['en'], gpu=False)
    result = reader.readtext(image)
    ocr_text = '\n'.join([entry[1] for entry in result])
    return ocr_text


with gr.Blocks() as demo:
    gr.Markdown("OCR (Optical Character Recognition) methods use algorithms to analyze images, recognize characters, and convert them into editable text. Popular tools like Tesseract OCR, Google Cloud Vision API, and Microsoft Azure Cognitive Services OCR efficiently perform this task, enabling data extraction and document digitization from images.")
    with gr.Tab("OCR Function 1"):
        image_input1 = gr.inputs.Image()
        text_output1 = gr.outputs.Textbox()
       
        button1 = gr.Button("Perform OCR")
    with gr.Tab("OCR Function 2"):
        image_input2 = gr.inputs.Image()
        text_output2 = gr.outputs.Textbox()
        button2 = gr.Button("Perform OCR")

    button1.click(perform_ocr, inputs=image_input1, outputs=text_output1)
    button2.click(perform_ocr1, inputs=image_input2, outputs=text_output2)

demo.launch()