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Create app.py
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app.py
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import gradio as gr
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import cv2
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import pytesseract
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from PIL import Image
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def ocr(image):
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# Step 1: Convert the image to gray scale
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gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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# Step 2: Perform OCR on the image
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text = pytesseract.image_to_string(gray)
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# Step 3: Prepare the output
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output = {
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"step1": "The first step is to convert the image to grayscale. This often improves the accuracy of OCR.",
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"step1_image": gray,
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"step2": "The second step is to perform OCR on the grayscale image using pytesseract.",
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"step2_text": text
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}
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return output
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iface = gr.Interface(fn=ocr,
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inputs=gr.inputs.Image(type="pil"),
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outputs=["text", "image", "text", "text"])
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iface.launch()
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