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Duplicate from Younghak/image-to-text-app
Browse filesCo-authored-by: Younghak <[email protected]>
- .github/workflows/sync_to_huggingface_hub.yml +20 -0
- README.md +15 -0
- app.py +47 -0
- requirements.txt +5 -0
.github/workflows/sync_to_huggingface_hub.yml
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name: Sync to Hugging Face hub
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on:
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push:
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branches: [main]
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# to run this workflow manually from the Actions tab
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workflow_dispatch:
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jobs:
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sync-to-hub:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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with:
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fetch-depth: 0
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lfs: true
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- name: Push to hub
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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run: git push --force https://Younghak:[email protected]/spaces/Younghak/image-to-text-app main
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README.md
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---
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title: Image To Text App
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emoji: 🌖
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colorFrom: gray
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colorTo: pink
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sdk: streamlit
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sdk_version: 1.21.0
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app_file: app.py
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pinned: false
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license: afl-3.0
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duplicated_from: Younghak/image-to-text-app
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---
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# image2text-app
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Demo of huggingface spaces deployment of a streamlit python app
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app.py
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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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#title
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st.title("Easy OCR - Extract Text from Images")
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#subtitle
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st.markdown("## Optical Character Recognition - Using `easyocr`, `streamlit` - hosted on 🤗 Spaces")
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st.markdown("Link to the app - [image-to-text-app on 🤗 Spaces](https://huggingface.co/spaces/Amrrs/image-to-text-app)")
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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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@st.cache_resource
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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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reader = load_model() #load model
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if image is not None:
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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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with st.spinner("🤖 AI is at Work! "):
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result = reader.readtext(np.array(input_image))
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result_text = [] #empty list for results
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for text in result:
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result_text.append(text[1])
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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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st.caption("This space for testing Huggingface deployment by SYH")
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requirements.txt
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streamlit
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opencv-python-headless
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numpy
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easyocr
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Pillow
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