remotewith Younghak commited on
Commit
6d7f851
0 Parent(s):

Duplicate from Younghak/image-to-text-app

Browse files

Co-authored-by: Younghak <[email protected]>

.github/workflows/sync_to_huggingface_hub.yml ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name: Sync to Hugging Face hub
2
+ on:
3
+ push:
4
+ branches: [main]
5
+
6
+ # to run this workflow manually from the Actions tab
7
+ workflow_dispatch:
8
+
9
+ jobs:
10
+ sync-to-hub:
11
+ runs-on: ubuntu-latest
12
+ steps:
13
+ - uses: actions/checkout@v3
14
+ with:
15
+ fetch-depth: 0
16
+ lfs: true
17
+ - name: Push to hub
18
+ env:
19
+ HF_TOKEN: ${{ secrets.HF_TOKEN }}
20
+ run: git push --force https://Younghak:[email protected]/spaces/Younghak/image-to-text-app main
README.md ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ title: Image To Text App
3
+ emoji: 🌖
4
+ colorFrom: gray
5
+ colorTo: pink
6
+ sdk: streamlit
7
+ sdk_version: 1.21.0
8
+ app_file: app.py
9
+ pinned: false
10
+ license: afl-3.0
11
+ duplicated_from: Younghak/image-to-text-app
12
+ ---
13
+
14
+ # image2text-app
15
+ Demo of huggingface spaces deployment of a streamlit python app
app.py ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import easyocr as ocr #OCR
2
+ import streamlit as st #Web App
3
+ from PIL import Image #Image Processing
4
+ import numpy as np #Image Processing
5
+
6
+ #title
7
+ st.title("Easy OCR - Extract Text from Images")
8
+
9
+ #subtitle
10
+ st.markdown("## Optical Character Recognition - Using `easyocr`, `streamlit` - hosted on 🤗 Spaces")
11
+
12
+ st.markdown("Link to the app - [image-to-text-app on 🤗 Spaces](https://huggingface.co/spaces/Amrrs/image-to-text-app)")
13
+
14
+ #image uploader
15
+ image = st.file_uploader(label = "Upload your image here",type=['png','jpg','jpeg'])
16
+
17
+
18
+ @st.cache_resource
19
+ def load_model():
20
+ reader = ocr.Reader(['en'],model_storage_directory='.')
21
+ return reader
22
+
23
+ reader = load_model() #load model
24
+
25
+ if image is not None:
26
+
27
+ input_image = Image.open(image) #read image
28
+ st.image(input_image) #display image
29
+
30
+ with st.spinner("🤖 AI is at Work! "):
31
+
32
+
33
+ result = reader.readtext(np.array(input_image))
34
+
35
+ result_text = [] #empty list for results
36
+
37
+
38
+ for text in result:
39
+ result_text.append(text[1])
40
+
41
+ st.write(result_text)
42
+ #st.success("Here you go!")
43
+ st.balloons()
44
+ else:
45
+ st.write("Upload an Image")
46
+
47
+ st.caption("This space for testing Huggingface deployment by SYH")
requirements.txt ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ streamlit
2
+ opencv-python-headless
3
+ numpy
4
+ easyocr
5
+ Pillow