Spaces:
Sleeping
Sleeping
import gradio as gr | |
from description import * | |
from reference_string_parsing import * | |
from controlled_summarization import * | |
with gr.Blocks(css="#htext span {white-space: pre-line}") as demo: | |
gr.Markdown("# Gradio Demo for SciAssist") | |
with gr.Tabs(): | |
# 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 | |
) | |
# 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]) | |
demo.launch(share=True) |