initial commit

README.md

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+# Run
+```bash
+python app.py
+```
+
+# Open
+[http://localhost:8501](http://localhost:8501)

app.py

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+# http://localhost:8501
+try: import os, io, tempfile, streamlit
+except: os.system('pip install -q streamlit')
+finally: import streamlit as st
+if st.runtime.exists(): 
+    st.title('맥모닝 OCR')
+    if img := st.file_uploader("Choose a file"):
+        st.image(io.BytesIO(blob := img.getvalue()))
+        with tempfile.TemporaryDirectory() as tmp, \
+            open(path := f'{tmp}/{img.name}', 'wb') as f:
+            f.write(blob)
+            st.code(os.popen(f'osascript ocr.applescript {path}').read())
+else: os.system('streamlit run app.py --browser.gatherUsageStats false')

ocr.applescript

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+-- Credit: https://stackoverflow.com/a/75779406
+
+use framework "Vision"
+
+on run(argv)
+    set ap to current application
+
+    -- Read image content
+    set img to ap's NSImage's alloc()'s initWithContentsOfFile:item 1 of argv
+
+    -- Set up request handler using image's raw data
+    set handle to ap's VNImageRequestHandler's alloc()'s <EFBFBD>
+        initWithData:(img's TIFFRepresentation()) <EFBFBD>
+        options:(ap's NSDictionary's dictionary())
+    
+    -- Initialize text request
+    set request to ap's VNRecognizeTextRequest's alloc()'s init()
+
+    -- Set recognition level to accurate
+    request's setRecognitionLevel:(ap's VNRequestTextRecognitionLevelAccurate)
+
+    -- Set recognition language to Korean
+    request's setRecognitionLanguages:(ap's NSArray's arrayWithObject:"ko-KR")
+
+    -- Perform the request and get the results
+    handle's performRequests:{request} |error|:(missing value)
+
+    -- Obtain and return the string values of the results
+    set res to ""
+    repeat with ocr in request's results()
+        set res to res & ((first item in (ocr's topCandidates:1))'s |string|()) & linefeed
+    end repeat
+    return res
+end run