from text_detection import Text_Detection
import gradio as gr

def get_response(input_img):

    return text_detector.predict([input_img])


if __name__ == "__main__":
    text_detector=Text_Detection('models/text_detector.xml')
    iface = gr.Interface(
        fn=get_response,
        inputs=gr.Image(type="numpy"),  # Accepts image input
        outputs=gr.Textbox(),
        title="SVTR-OCR-App",
        description="Upload cropped text for accurate Latin OCR"
    )

    iface.launch(share=True)