myway0101 commited on
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41f2cfa
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Create app.py

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  1. app.py +47 -0
app.py ADDED
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+ import easyocr as ocr #OCR
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+ import streamlit as st #Web App
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+ from PIL import Image #Image Processing
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+ import numpy as np #Image Processing
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+
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+ #title
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+ st.title("Easy OCR - Extract Text from Images")
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+
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+ #subtitle
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+ st.markdown("## Optical Character Recognition - Using `easyocr`, `streamlit` - hosted on πŸ€— Spaces")
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+
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+ st.markdown("Link to the app - [image-to-text-app on πŸ€— Spaces](https://huggingface.co/spaces/Amrrs/image-to-text-app)")
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+
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+ #image uploader
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+ image = st.file_uploader(label = "Upload your image here",type=['png','jpg','jpeg'])
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+
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+
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+ @st.cache
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+ def load_model():
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+ reader = ocr.Reader(['en'],model_storage_directory='.')
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+ return reader
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+
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+ reader = load_model() #load model
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+
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+ if image is not None:
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+
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+ input_image = Image.open(image) #read image
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+ st.image(input_image) #display image
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+
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+ with st.spinner("πŸ€– AI is at Work! "):
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+
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+
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+ result = reader.readtext(np.array(input_image))
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+
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+ result_text = [] #empty list for results
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+
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+
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+ for text in result:
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+ result_text.append(text[1])
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+
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+ st.write(result_text)
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+ #st.success("Here you go!")
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+ st.balloons()
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+ else:
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+ st.write("Upload an Image")
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+
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+ st.caption("Made with ❀️ by @1littlecoder. Credits to πŸ€— Spaces for Hosting this ")