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Update app.py
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app.py
CHANGED
@@ -1,16 +1,15 @@
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import gradio as gr
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import rebiber
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import os
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import uuid
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# Load Bib Database
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filepath = os.path.abspath(rebiber.__file__).replace("__init__.py","")
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bib_list_path = os.path.join(filepath, "bib_list.txt")
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abbr_tsv_path = "abbr.tsv"
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bib_db = rebiber.construct_bib_db(bib_list_path, start_dir=filepath)
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abbr_dict = rebiber.normalize.load_abbr_tsv(abbr_tsv_path)
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@@ -23,55 +22,54 @@ def process(input_bib, shorten, remove_keys, deduplicate, sort):
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with open(f"input_{random_id}.bib", "w") as f:
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f.write(input_bib.replace("\t", " "))
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all_bib_entries = rebiber.load_bib_file(f"input_{random_id}.bib")
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print("# Input Bib Entries:", len(all_bib_entries))
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abbr_dict_pass = []
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if shorten:
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abbr_dict_pass = abbr_dict
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rebiber.normalize_bib(
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with open(f"output_{random_id}.bib") as f:
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output_bib = f.read().replace("\n ", "\n ")
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# delete both files
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# print(output_bib)
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return output_bib, random_id, gr.update(visible=True)
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example_input = """
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@article{lin2020birds,
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year={2020}
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}
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title={CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning},
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author={Bill Yuchen Lin and Minghan Shen and Wangchunshu Zhou and Pei Zhou and Chandra Bhagavatula and Yejin Choi and Xiang Ren},
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booktitle={Findings},
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year={2020}
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}
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"""
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examples = [[example_input]]
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# iface = gr.Interface(fn=process,
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# inputs=gr.inputs.Textbox(lines=30, label="Input BIB"),
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# outputs=gr.outputs.Textbox(label="Output BIB").style(show_copy_button=True),
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# examples=examples,
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# allow_flagging="never"
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# )
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with gr.Blocks() as demo:
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gr.Markdown(
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<table>
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<tr>
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<td>
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Apart from handling outdated arXiv citations, __Rebiber__ also normalizes citations in a unified way (DBLP-style), supporting abbreviation and value selection.
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</span>
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)
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with gr.Row():
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with gr.Column(scale=3):
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input_bib = gr.Textbox(
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dedup = gr.Checkbox(label="Deduplicate entries.", value=False)
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sort = gr.Checkbox(label="Sort alphabetically by ID.", value=False)
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with gr.Row():
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button = gr.Button("Submit")
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ex_uuid = gr.Text(label="UUID")
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ex_uuid.visible = False
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with gr.Column(scale=3):
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output=gr.Textbox(
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download_btn = gr.Button("Generate Bib File")
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download_btn.visible = False
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download_content = gr.
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download_content.visible = False
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def clean(text):
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return ""
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clr_button.click(clean, input_bib, input_bib)
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# gr.Interface(fn=process,
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# outputs=gr.outputs.Textbox(label="Output BIB").style(show_copy_button=True),
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url = {https://aclanthology.org/2020.emnlp-main.557},
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year = {2020}
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}
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"""
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# coding:utf-8
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import gradio as gr
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import rebiber
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import os
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import uuid
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# Load Bib Database
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filepath = os.path.abspath(rebiber.__file__).replace("__init__.py", "")
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bib_list_path = os.path.join(filepath, "bib_list.txt")
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abbr_tsv_path = "abbr.tsv"
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bib_db = rebiber.construct_bib_db(bib_list_path, start_dir=filepath)
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abbr_dict = rebiber.normalize.load_abbr_tsv(abbr_tsv_path)
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with open(f"input_{random_id}.bib", "w") as f:
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f.write(input_bib.replace("\t", " "))
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all_bib_entries = rebiber.load_bib_file(f"input_{random_id}.bib")
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# print("# Input Bib Entries:", len(all_bib_entries))
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abbr_dict_pass = []
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if shorten:
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abbr_dict_pass = abbr_dict
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rebiber.normalize_bib(
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bib_db,
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all_bib_entries,
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f"output_{random_id}.bib",
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abbr_dict=abbr_dict_pass,
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deduplicate=deduplicate,
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sort=sort,
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removed_value_names=remove_keys,
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)
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with open(f"output_{random_id}.bib") as f:
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output_bib = f.read().replace("\n ", "\n ")
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# delete both files
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return output_bib, random_id, gr.update(visible=True)
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def download_file(ex_uuid):
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global download_content
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# Replace this with your code to generate/download the file
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file_path = f"output_{ex_uuid}.bib"
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download_content.update(visible=False)
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return file_path, gr.update(visible=True)
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example_input = """
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@article{lin2020birds,
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title={Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models},
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author={Lin, Bill Yuchen and Lee, Seyeon and Khanna, Rahul and Ren, Xiang},
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journal={arXiv preprint arXiv:2005.00683},
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year={2020}
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}
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@inproceedings{Lin2020CommonGenAC,
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title={CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning},
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author={Bill Yuchen Lin and Minghan Shen and Wangchunshu Zhou and Pei Zhou and Chandra Bhagavatula and Yejin Choi and Xiang Ren},
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booktitle={Findings},
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year={2020}
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}
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"""
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examples = [[example_input]]
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with gr.Blocks() as demo:
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gr.Markdown(
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"""# Rebiber: A tool for normalizing bibtex with official info.
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<table>
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<tr>
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<td>
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Apart from handling outdated arXiv citations, __Rebiber__ also normalizes citations in a unified way (DBLP-style), supporting abbreviation and value selection.
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</span>
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"""
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)
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with gr.Row():
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with gr.Column(scale=3):
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input_bib = gr.Textbox(
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lines=15, label="Input BIB", value=example_input, interactive=True
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)
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removekeys = gr.CheckboxGroup(
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[
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"url",
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"biburl",
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"address",
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"publisher",
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"pages",
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"doi",
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"volume",
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"bibsource",
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],
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# value=[False, False, False, False, False, False, False, False],
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label="Remove Keys",
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info="Which keys to remove?",
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)
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shorten = gr.Checkbox(
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label="Abbreviation",
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info="Shorten the conference/journal names (e.g., `Proceedings of the 2020 International Conference of ...` --> `Proc. of ICML')",
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value=False,
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)
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dedup = gr.Checkbox(label="Deduplicate entries.", value=False)
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sort = gr.Checkbox(label="Sort alphabetically by ID.", value=False)
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with gr.Row():
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button = gr.Button("Submit")
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ex_uuid = gr.Text(label="UUID")
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ex_uuid.visible = False
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with gr.Column(scale=3):
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output = gr.Textbox(
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label="Output BIB (Note that you can copy the output bib file by clicking the top-right button.)",
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show_copy_button=True,
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interactive=False,
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)
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download_btn = gr.Button("Generate Bib File")
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download_btn.visible = False
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download_content = gr.File()
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download_content.visible = False
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download_btn.click(
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download_file, inputs=ex_uuid, outputs=[download_content, download_content]
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)
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button.click(
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process,
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inputs=[input_bib, shorten, removekeys, dedup, sort],
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outputs=[output, ex_uuid, download_btn],
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api_name="process",
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)
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def clean(text):
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return ""
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clr_button.click(clean, input_bib, input_bib)
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# gr.Interface(fn=process,
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# outputs=gr.outputs.Textbox(label="Output BIB").style(show_copy_button=True),
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url = {https://aclanthology.org/2020.emnlp-main.557},
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year = {2020}
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}
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"""
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