app.py

import gradio as gr
import cv2
from PIL import Image
import numpy as np
from EasyOpticalCharacterRecognition import process_image

def infer(image):
    img = np.array(image)
    annotated_img, result_text = process_image(img)
    return Image.fromarray(annotated_img), result_text

demo = gr.Interface(
    fn=infer,
    inputs=gr.Image(type="pil"),
    outputs=[gr.Image(type="pil", label="Annotated Image"), gr.Textbox(label="Classification Results")],
    title="Handwritten vs Computerized Text Detector",
    description="Upload an image containing text. The system detects text using EasyOCR and classifies each as handwritten or computerized using MobileNet."
)
demo.launch()