app.py

import os
os.environ['USE_TORCH'] = '1'

from doctr.io import DocumentFile
from doctr.models import ocr_predictor
import gradio as gr
from PIL import Image

predictor = ocr_predictor(pretrained=True)

title="DocTR OCR (PDL Demo)"
description="Upload an image to get the OCR results !"

def greet(img):
    img.save("out.jpg")
    doc = DocumentFile.from_images("out.jpg")
    output=predictor(doc)
    res=""
    for obj in output.pages:
      for obj1 in obj.blocks:
        for obj2 in obj1.lines:
          for obj3 in obj2.words:
            res=res + " " + obj3.value
        res=res + "\n"
      res=res + "\n"
    _output_name = "RESULT_OCR.txt"
    open(_output_name, 'w').close() # clear file
    with open(_output_name, "w", encoding="utf-8", errors="ignore") as f:
        f.write(res)
        print("Writing into file")
    return res, _output_name

demo = gr.Interface(fn=greet,
                    inputs=gr.Image(type="pil"),
                    outputs=["text", "file"],
                    title=title,
                    description=description,
                    examples=[["Examples/Book.png"],["Examples/News.png"],["Examples/Manuscript.jpg"],["Examples/Files.jpg"]]
                    )

demo.launch(debug=True)