| 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() |