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| import streamlit as st | |
| import easyocr | |
| from PIL import Image | |
| import numpy as np | |
| # โหลด EasyOCR ด้วย GPU (โหลดครั้งเดียวตอนเริ่มแอป) | |
| reader = easyocr.Reader(['en', 'th'], gpu=True) | |
| # --- Streamlit UI --- | |
| st.set_page_config(page_title="EasyOCR (GPU) - Fast OCR") | |
| st.title("EasyOCR (GPU) - Fast OCR") | |
| st.write("Upload an image to extract text using GPU acceleration") | |
| # อัปโหลดไฟล์ | |
| uploaded_file = st.file_uploader("Choose an image...", type=["png", "jpg", "jpeg"]) | |
| if uploaded_file is not None: | |
| # เปิดภาพและแสดง | |
| image = Image.open(uploaded_file) | |
| st.image(image, caption='Uploaded Image', use_column_width=True) | |
| if st.button("Run OCR"): | |
| with st.spinner("Processing..."): | |
| # แปลงภาพเป็น numpy array | |
| img_array = np.array(image) | |
| # ใช้ detail=0 และ paragraph=True | |
| result = reader.readtext(img_array, detail=0, paragraph=True) | |
| if result: | |
| st.success("OCR Completed!") | |
| st.text_area("Detected Text", "\n".join(result), height=300) | |
| else: | |
| st.warning("No text detected in the image.") | |