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import json | |
import os | |
import re | |
import statistics | |
import gradio as gr | |
import pandas as pd | |
from pdftoqa_generator import * | |
def predict(file): | |
resource = pdf_parser(file) | |
qa_notes = qa_generator(resource) | |
return qa_notes | |
description = """Do you have a long document and a bunch of questions that can be answered given the data in this file? | |
Fear not for this demo is for you. | |
Upload your pdf, ask your questions and wait for the magic to happen. | |
DISCLAIMER: I do no have idea what happens to the pdfs that you upload and who has access to them so make sure there is nothing confidential inside it. | |
""" | |
title = "Note Maker." | |
pdf_doc=gr.File(label="Load a pdf", file_types=['.pdf'], type="file") | |
iface = gr.Interface( | |
fn=predict, | |
inputs=[pdf_doc], | |
outputs="text", | |
description=description, | |
title=title, | |
) | |
iface.launch(show_error=True) | |