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import streamlit as st |
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import easyocr |
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from PIL import Image |
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import numpy as np |
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def extract_text(image_path, lang='tjk'): |
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reader = easyocr.Reader([lang]) |
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results = reader.readtext(np.array(image_path)) |
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all_text = '' |
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confidences = [] |
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for (bbox, text, prob) in results: |
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all_text += ' ' + text |
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confidences.append(prob) |
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final_confidence = sum(confidences) / len(confidences) if confidences else 0 |
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return all_text, final_confidence |
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st.title('Расмдан матнни чиқариш') |
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uploaded_file = st.file_uploader("Расмни танланг...", type=["jpg", "jpeg", "png"]) |
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if uploaded_file is not None: |
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image = Image.open(uploaded_file) |
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st.image(image, caption='Юкланган расм', use_column_width=True) |
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st.write("") |
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st.write("Ишланмоқда") |
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extracted_text, confidence = extract_text(image, 'tjk') |
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st.write("Олинган матн") |
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st.text_area("Натижа", extracted_text, height=150) |
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st.write(f"Натижа аниқлиги: {confidence*100:.2f}%") |
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