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from flask import Flask, request, jsonify
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import pytesseract
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from pytesseract import Output
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import difflib
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from PIL import Image
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app = Flask(__name__)
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def find_text_coordinates(image_file, search_text):
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image = Image.open(image_file)
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d = pytesseract.image_to_data(image, output_type=Output.DICT)
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n_boxes = len(d['level'])
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result = []
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for i in range(n_boxes):
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(x, y, w, h) = (d['left'][i], d['top'][i], d['width'][i], d['height'][i])
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if d["text"][i]:
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result.append(((x, y, w, h), d["text"][i]))
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arr_of_words = [i[1].lower() for i in result]
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closest_match = difflib.get_close_matches(search_text, arr_of_words, n=1)
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if closest_match:
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for i in result:
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if i[1].lower() == closest_match[0].lower():
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return {"text": closest_match[0], "coordinates": {"x": i[0][0], "y": i[0][1], "width": i[0][2], "height": i[0][3]}}
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return None
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@app.route('/ocr', methods=['POST'])
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def ocr():
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if 'image' not in request.files:
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return jsonify({"error": "No image file provided"}), 400
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if 'text' not in request.form:
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return jsonify({"error": "No text provided"}), 400
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image_file = request.files['image']
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search_text = request.form['text'].lower()
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result = find_text_coordinates(image_file, search_text)
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if result:
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return jsonify(result)
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else:
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return jsonify({"error": "Text not found"}), 404
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if __name__ == '__main__':
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app.run()
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