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Update app.py
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app.py
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@@ -1,16 +1,15 @@
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import streamlit as st
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import
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from PIL import Image
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import io
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# Set the correct path for Tesseract
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pytesseract.pytesseract.tesseract_cmd = "/usr/bin/tesseract"
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# Set the page title and icon
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st.set_page_config(page_title="Image to Text Converter", page_icon="🖼️", layout="centered")
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st.title("🖼️ Image to Text Converter")
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st.markdown("Extract text from images using
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# Upload Image
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uploaded_file = st.file_uploader("Upload an Image", type=["png", "jpg", "jpeg"])
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# Convert Image to Text
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with st.spinner("Extracting text..."):
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# Display Extracted Text
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st.subheader("Extracted Text")
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st.text_area("",
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st.markdown("---")
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st.markdown("💡 Developed with ❤️ using Streamlit and
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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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# Set the page title and icon
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st.set_page_config(page_title="Image to Text Converter", page_icon="🖼️", layout="centered")
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st.title("🖼️ Image to Text Converter")
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st.markdown("Extract text from images using AI-powered OCR!")
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# Initialize OCR Reader
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reader = easyocr.Reader(["en"]) # You can add more languages like ["en", "fr"]
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# Upload Image
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uploaded_file = st.file_uploader("Upload an Image", type=["png", "jpg", "jpeg"])
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# Convert Image to Text
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with st.spinner("Extracting text..."):
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text_results = reader.readtext(image)
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extracted_text = "\n".join([text[1] for text in text_results])
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# Display Extracted Text
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st.subheader("Extracted Text")
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st.text_area("", extracted_text, height=200)
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st.markdown("---")
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st.markdown("💡 Developed with ❤️ using Streamlit and EasyOCR")
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