app.py

import gradio as gr
from PyPDF4 import PdfFileReader
import tiktoken

def extract_text_from_pdf(file_path):
    with open(file_path, "rb") as file:
        pdf = PdfFileReader(file)
        text = ""
        for page_num in range(pdf.getNumPages()):
            text += pdf.getPage(page_num).extractText()
    return text

def count_tokens(text):
    tokenizer = tiktoken.encoding_for_model("gpt-3.5-turbo")
    tokens = tokenizer.encode(
        text,
        disallowed_special=()
    )
    return len(tokens)

def count_tokens_in_file(file):
    # Extract text from the PDF file
    paper_text = extract_text_from_pdf(file.name)
    return count_tokens(paper_text)

with gr.Blocks() as demo:
    gr.Markdown("Upload your document to count their tokens")
    with gr.Tab("Upload PDF & TXT"): 
        docs_input = gr.File(file_count="single", file_types=[".pdf"])
        tb_tokenCount = gr.Textbox(label='Number of tokens')
        docs_input.upload(count_tokens_in_file,inputs=[docs_input],outputs=[tb_tokenCount])
        btn_count = gr.Button("Count token")
        btn_count.click(count_tokens_in_file,inputs=[docs_input],outputs=[tb_tokenCount])

#demo.queue()
demo.launch(debug=True,share=False)