from typing import List
import pytesseract
from PIL import Image
import gradio as gr
import cv2
import numpy as np

def tesseract_ocr_with_selection(filepath: str, coordinates: List[int] = None):
    # Görseli yükle
    image = Image.open(filepath)
    
    if coordinates:
        # Koordinatlara göre kırp
        x1, y1, x2, y2 = coordinates
        image = image.crop((x1, y1, x2, y2))
    
    # OCR işlemi (varsayılan dil: İngilizce)
    return pytesseract.image_to_string(image=image, lang='eng')

# Gradio UI ayarları
title = "Tesseract OCR with Selection"
description = "Gradio demo for Tesseract OCR with region selection (default language: English)."
article = "<p style='text-align: center'><a href='https://tesseract-ocr.github.io/' target='_blank'>Tesseract documentation</a> | <a href='https://github.com/tesseract-ocr/tesseract' target='_blank'>Github Repo</a></p>"

examples = [
    ['examples/eurotext.png', [50, 50, 200, 200]],
    ['examples/tesseract_sample.png', [30, 40, 150, 120]],
]

with gr.Blocks() as demo:
    with gr.Row():
        gr.Markdown("# Tesseract OCR with Selection")
    with gr.Row():
        img_input = gr.Image(type="filepath", label="Input Image")
        coords_input = gr.Textbox(label="Selection Coordinates (x1, y1, x2, y2)", placeholder="50, 50, 200, 200")
    with gr.Row():
        ocr_button = gr.Button("Run OCR with Selection")
    with gr.Row():
        ocr_output = gr.Textbox(label="OCR Result")
    
    def run_with_selection(image_path, coordinates):
        if coordinates:
            coordinates = [int(coord) for coord in coordinates.split(",")]
        return tesseract_ocr_with_selection(image_path, coordinates)
    
    ocr_button.click(
        run_with_selection,
        inputs=[img_input, coords_input],
        outputs=[ocr_output]
    )

if __name__ == '__main__':
    demo.launch()