Create app.py

app.py

@@ -0,0 +1,38 @@
+from typing import List
+
+import pytesseract
+from PIL import Image
+
+import gradio as gr
+
+def tesseract_ocr(filepath: str, languages: List[str]):
+    image = Image.open(filepath)
+    return pytesseract.image_to_string(image=image, lang=', '.join(languages))
+
+title = "Tesseract OCR"
+description = "Gradio demo for Tesseract. Tesseract is an open source text recognition (OCR) Engine."
+article = "<p style='text-align: center'><a href='https://tesseract-ocr.github.io/' target='_blank'>Tesseract documentation</a> | <a href='https://github.com/tesseract-ocr/tesseract' target='_blank'>Github Repo</a></p>"
+examples = [
+        ['examples/eurotext.png', ['eng']], 
+        ['examples/tesseract_sample.png', ['jpn', 'eng']], 
+        ['examples/chi.jpg', ['HanS', 'HanT']]
+    ]
+
+language_choices = pytesseract.get_languages()
+
+demo = gr.Interface(
+    fn=tesseract_ocr, 
+    inputs=[
+        gr.Image(type="filepath", label="Input"), 
+        gr.CheckboxGroup(language_choices, type="value", value=['eng'], label='language')
+        ],
+    outputs='text',
+    title=title,
+    description=description,
+    article=article,
+    examples=examples,
+)
+
+if __name__ == '__main__':
+    demo.launch(share=True)
+    print("Finished running")