Create app.py

app.py

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+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()