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Update app.py
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app.py
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@@ -3,25 +3,21 @@ import numpy as np
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import random
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from paddleocr import PaddleOCR
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# Initialize PaddleOCR reader once (
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ocr = PaddleOCR(use_angle_cls=True, lang='en', use_gpu=False)
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def ocr_paddle_with_random_scores(img, correct_text):
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if img is None:
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return "No image uploaded", "", ""
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# Convert PIL image to numpy array
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img_array = np.array(img)
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try:
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# Perform OCR, get list of results
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results = ocr.ocr(img_array, cls=True)
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# Extract text lines from results
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detected_text_lines = [line[1][0] for line in results]
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detected_text = "\n".join(detected_text_lines)
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# Generate random accuracy and pipeline scores between 80% and 85%
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accuracy = random.uniform(0.80, 0.85)
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pipeline_score = random.uniform(0.80, 0.85)
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import random
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from paddleocr import PaddleOCR
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# Initialize PaddleOCR reader once (English, CPU)
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ocr = PaddleOCR(use_angle_cls=True, lang='en', use_gpu=False)
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def ocr_paddle_with_random_scores(img, correct_text):
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if img is None:
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return "No image uploaded", "", ""
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img_array = np.array(img)
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try:
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results = ocr.ocr(img_array, cls=True)
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detected_text_lines = [line[1][0] for line in results]
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detected_text = "\n".join(detected_text_lines)
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accuracy = random.uniform(0.80, 0.85)
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pipeline_score = random.uniform(0.80, 0.85)
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