app.py

from PyPDF2 import PdfReader
import gradio as gr

def get_pdf_page_count(pdf_path):
    reader = PdfReader(pdf_path)
    return len(reader.pages)

def inference(pdf_path, page_num):
    return "A"

title = "OCR Arena"
description = "A simple Gradio interface to extract text from PDFs and compare OCR models"
examples = [["data/amazon-10-k-2024.pdf"],
            ["data/goog-10-k-2023.pdf"]]

with gr.Blocks(theme=gr.themes.Glass()) as demo:
    with gr.Row():
        with gr.Column():
            pdf = gr.File(label="Input PDFs", file_types=[".pdf"])

            @gr.render(inputs=pdf)
            def show_slider(pdf_path):
                if pdf_path is None:
                    page_num = gr.Markdown("## No Input Provided")
                else:
                    page_count = get_pdf_page_count(pdf_path)
                    page_num = gr.Slider(1, page_count, value=1, step=1, label="Page Number")

                    with gr.Row():
                        clear_btn = gr.ClearButton(components=[pdf, page_num])
                        submit_btn = gr.Button("Submit", variant='primary')

                    submit_btn.click(inference, inputs=[pdf, page_num], outputs=ocr_out)

        with gr.Column():
            ocr_out = gr.Textbox(label="OCR Output", type="text")

    examples_obj = gr.Examples(examples=examples, inputs=[pdf])

demo.launch()