app.py

import gradio as gr
from description import *

from reference_string_parsing import *
from controlled_summarization import *
from dataset_extraction import *

with gr.Blocks(css="#htext span {white-space: pre-line}") as demo:
    gr.Markdown("# Gradio Demo for SciAssist")
    with gr.Tabs():

        # Controlled Summarization
        with gr.TabItem("Summarization"):

            with gr.Box():
                gr.Markdown(ctrlsum_file_md)
                with gr.Row():
                    with gr.Column():
                        ctrlsum_file = gr.File(label="Input File")
                        ctrlsum_str = gr.TextArea(label="Input String")
                        with gr.Column():
                            gr.Markdown("* Length 0 will exert no control over length.")
                            # ctrlsum_file_beams = gr.Number(label="Number of beams for beam search", value=1, precision=0)
                            # ctrlsum_file_sequences = gr.Number(label="Number of generated summaries", value=1, precision=0)
                            ctrlsum_file_length = gr.Slider(0,300,step=50, label="Length")
                            ctrlsum_file_keywords = gr.Textbox(label="Keywords",max_lines=1)
                        with gr.Row():
                            ctrlsum_file_btn = gr.Button("Generate")
                    ctrlsum_file_output = gr.Textbox(
                        elem_id="htext",
                        label="Summary",
                    )
                ctrlsum_file_examples = gr.Examples(examples=[["examples/BERT_body.txt", 100, "", ""],["examples/BERT_paper.pdf", 0, "BERT"]],
                                                inputs=[ctrlsum_file, ctrlsum_file_length, ctrlsum_file_keywords])

        ctrlsum_file_btn.click(
            fn=ctrlsum_for_file,
            inputs=[ctrlsum_file, ctrlsum_file_length, ctrlsum_file_keywords, ctrlsum_str],
            outputs=[ctrlsum_file_output, ctrlsum_str]
        )
        def clear():
            return None,0,None

        ctrlsum_file.change(clear, inputs=None,outputs=[ctrlsum_str,ctrlsum_file_length,ctrlsum_file_keywords])

        # Reference String Parsing
        with gr.TabItem("Reference String Parsing"):
            with gr.Box():
                gr.Markdown(rsp_str_md)
                with gr.Row():
                    with gr.Column():
                        rsp_str = gr.Textbox(label="Input String")
                        with gr.Column():
                            rsp_str_dehyphen = gr.Checkbox(label="dehyphen")
                        with gr.Row():
                            rsp_str_btn = gr.Button("Parse")
                    rsp_str_output = gr.HighlightedText(
                        elem_id="htext",
                        label="The Result of Parsing",
                        combine_adjacent=True,
                        adjacent_separator=" ",
                    )
                rsp_str_examples = gr.Examples(examples=[[
                                                         "Waleed Ammar, Matthew E. Peters, Chandra Bhagavat- ula, and Russell Power. 2017. The ai2 system at semeval-2017 task 10 (scienceie): semi-supervised end-to-end entity and relation extraction. In ACL workshop (SemEval).",
                                                         True],
                                                     [
                                                         "Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, and Andrew D. McCallum. 2017. Semeval-2017 task 10 (scienceie): Extracting keyphrases and relations from scientific publications. In ACL workshop (SemEval).",
                                                         False]], inputs=[rsp_str, rsp_str_dehyphen])
            with gr.Box():
                gr.Markdown(rsp_file_md)
                with gr.Row():
                    with gr.Column():
                        rsp_file = gr.File(label="Input File")
                        rsp_file_dehyphen = gr.Checkbox(label="dehyphen")
                        with gr.Row():
                            rsp_file_btn = gr.Button("Parse")

                    rsp_file_output = gr.HighlightedText(
                        elem_id="htext",
                        label="The Result of Parsing",
                        combine_adjacent=True,
                        adjacent_separator=" ",
                    )
                rsp_file_examples = gr.Examples(examples=[["examples/N18-3011_ref.txt", False],["examples/BERT_paper.pdf", True]], inputs=[rsp_file, rsp_file_dehyphen])


        rsp_file_btn.click(
            fn=rsp_for_file,
            inputs=[rsp_file, rsp_file_dehyphen],
            outputs=rsp_file_output
        )
        rsp_str_btn.click(
            fn=rsp_for_str,
            inputs=[rsp_str, rsp_str_dehyphen],
            outputs=rsp_str_output
        )


        # Dataset Extraction
        with gr.TabItem("Dataset Mentions Extraction"):
            with gr.Box():
                gr.Markdown(de_str_md)
                with gr.Row():
                    with gr.Column():
                        de_str = gr.Textbox(label="Input String")
                        with gr.Row():
                            de_str_btn = gr.Button("Extract")
                    de_str_output = gr.HighlightedText(
                        elem_id="htext",
                        label="The Result of Extraction",
                        combine_adjacent=True,
                        adjacent_separator=" ",
                    )
                de_str_examples = gr.Examples(examples=[["Waleed Ammar, Matthew E. Peters, Chandra Bhagavat- ula, and Russell Power. 2017. The ai2 system at semeval-2017 task 10 (scienceie): semi-supervised end-to-end entity and relation extraction. In ACL workshop (SemEval)."],
                                                        ["Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, and Andrew D. McCallum. 2017. Semeval-2017 task 10 (scienceie): Extracting keyphrases and relations from scientific publications. In ACL workshop (SemEval)."]],
                                                         inputs=[de_str])
            with gr.Box():
                gr.Markdown(de_file_md)
                with gr.Row():
                    with gr.Column():
                        de_file = gr.File(label="Input File")
                        with gr.Row():
                            de_file_btn = gr.Button("Extract")

                    de_file_output = gr.HighlightedText(
                        elem_id="htext",
                        label="The Result of Extraction",
                        combine_adjacent=True,
                        adjacent_separator=" ",
                    )
                de_file_examples = gr.Examples(examples=[["examples/N18-3011_ref.txt"],["examples/BERT_paper.pdf"]], inputs=[de_file])


        de_file_btn.click(
            fn=de_for_file,
            inputs=[de_file],
            outputs=de_file_output
        )
        de_str_btn.click(
            fn=de_for_str,
            inputs=[de_str],
            outputs=de_str_output
        )


demo.launch(share=False)