app.py

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

# Initialize the OCR model
model = ocr_predictor(det_arch='db_resnet50', reco_arch='crnn_vgg16_bn', pretrained=True)

def ocr_process(file):
    # Read the uploaded file
    if file.name.lower().endswith('.pdf'):
        doc = DocumentFile.from_pdf(file.name)
    else:
        # Assume it's an image if not PDF
        image_stream = io.BytesIO(file.read())
        doc = DocumentFile.from_images(image_stream)
    
    # Perform OCR
    result = model(doc)
    
    # Extract text from the result
    extracted_text = ""
    for page in result.pages:
        for block in page.blocks:
            for line in block.lines:
                for word in line.words:
                    extracted_text += word.value + " "
                extracted_text += "\n"
            extracted_text += "\n"
    
    return extracted_text.strip()

# Create Gradio interface
iface = gr.Interface(
    fn=ocr_process,
    inputs=gr.File(label="Upload PDF or Image"),
    outputs=gr.Textbox(label="Extracted Text"),
    title="OCR with doctr",
    description="Upload a PDF or image file to extract text using OCR."
)

# Launch the interface
iface.launch()