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app.py
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import copy
import json
from pathlib import Path
from zipfile import ZipFile
import gradio as gr
import pycountry
from averell.utils import get_ids, generate_tei, CORPORA_SOURCES
from averell.core import export_corpora
PARAMS = {
"granularity": "poem",
"output_format": "JSON",
"corpora_list": [
'bibit', 'stichopt', 'disco2_1',
'disco3', 'adso', 'adso100',
'plc', 'gongo', 'ecpa',
'4b4v', 'czverse', 'mel'
],
}
def get_available_languages(sources):
available_langs = []
for c in sources:
lg = c["properties"]["language"]
if lg not in available_langs:
available_langs.append(lg)
return available_langs
def filter_corpus_language(sources, lg):
corpora_sources = copy.deepcopy(sources)
filtered_corpora = [c for c in corpora_sources if c["properties"]["language"] == lg]
return filtered_corpora
available_languages = get_available_languages(CORPORA_SOURCES)
with gr.Blocks() as app_averell:
def export(output_path, output_format, output_granularity):
corpora_list = PARAMS["corpora_list"]
if not corpora_list:
return {out_file: gr.File.update(label="ERROR: No corpus selected")}
output_path = output_path["label"]
filename = f"corpora/{output_format}.zip"
# Export to TEI
if output_format == "TEI":
generate_tei(corpora_list, output_path, True)
return {out_file: gr.File.update(value=f"corpora/{output_format}.zip",
label=output_format)}
# Export to JSON
if output_granularity == "poem":
export_corpora(get_ids(corpora_list),
None,
"corpora/JSON",
None,
no_download=False,
ui_mode=True)
with ZipFile(filename, "w") as zfile:
for corp in corpora_list:
p = Path(f'{output_path}/{output_format}/{corp}')
for f in p.glob("**/*.json"):
zfile.write(f)
return {out_file: gr.File.update(value=f"corpora/{output_format}.zip",
label=output_format)}
else:
json_l, filename = export_corpora(get_ids(corpora_list),
output_granularity,
"corpora/JSON",
None,
no_download=False,
ui_mode=True)
with open(f"corpora/{filename}.json", 'w', encoding='utf-8') as f:
json.dump(json_l, f, ensure_ascii=False, indent=4)
return {out_file: gr.File.update(value=f"corpora/{filename}.json",
label=filename)}
def block_granularity(r_format):
if r_format == "TEI":
PARAMS["output_format"] = r_format
return {rad_granularity: gr.update(value="poem", visible=False)}
else:
PARAMS["output_format"] = r_format
return {rad_granularity: gr.update(value="poem", visible=True)}
def update_granularity(value):
PARAMS["granularity"] = value
true_l = [gr.Checkbox.update(value=True, visible=True)]
false_l = [gr.Checkbox.update(value=False, visible=False)] # False
true_acc = [gr.Box.update(visible=True)]
false_acc = [gr.Box.update(visible=False)] # False
if value == "word":
# 000011100110 + 110110 + 110110
corp_list = false_l*4 + true_l*3 + false_l*2 + true_l*2 + false_l
lang_list = true_l*2 + false_l + true_l*2 + false_l
acc_list = true_acc*2 + false_acc + true_acc*2 + false_acc
PARAMS["corpora_list"] = ["plc", "gongo", "ecpa", "bibit", "czverse"]
return corp_list + lang_list + acc_list
elif value == "syllable":
# 000011000000 + 100000 + 100000
corp_list = false_l*4 + true_l*2 + false_l*6
lang_list = true_l + false_l*5
acc_list = true_acc + false_acc*5
PARAMS["corpora_list"] = ["plc", "gongo"]
return corp_list + lang_list + acc_list
else:
return true_l*18 + true_acc*6
def change_selection(value, *labels):
for corpus_name in labels:
update_corpora_list(value, corpus_name)
return value
def change_global_selection(value, *labels):
for corpus_name in labels:
update_corpora_list(value, corpus_name)
return [gr.Checkbox.update(value=value)] * 6
def update_corpora_list(added, corpus_name):
corpora_list = PARAMS["corpora_list"]
if corpus_name in corpora_list and not added:
corpora_list.remove(corpus_name)
elif corpus_name not in corpora_list and added:
corpora_list.append(corpus_name)
app_title = gr.HTML("<h1>Averell</h1>")
with gr.Row() as row:
with gr.Column(scale=3) as c1:
rad_format = gr.Radio(["TEI", "JSON"],
label="Output",
info="Choose output format",
value="TEI",
interactive=True)
rad_granularity = gr.Radio(
["poem", "stanza", "line", "word", "syllable"],
label="Granularity",
info="Choose output granularity",
value="poem",
interactive=True,
visible=False,
)
corpus_checkboxes = []
lang_checkboxes = []
with gr.Box() as b1:
gr.HTML(value="<h3>Corpora list<h3>")
gr.HTML(value="<br>")
all_corp_chk = gr.Checkbox(True, label="Select all/none",
interactive=True)
with gr.Row() as rowa:
all_label_list = []
gr.Checkbox(label="dummy",visible=False)
for lang in available_languages:
with gr.Column() as b2:
language = pycountry.languages.get(
alpha_2=lang).name
gr.HTML(language)
with gr.Blocks() as corpora:
with gr.Row() as rowb:
lang_chk = gr.Checkbox(True,
label="Select all/none",
interactive=True)
filtered_corpus = filter_corpus_language(
CORPORA_SOURCES, lang)
with gr.Accordion("Expand list",
open=False) as acc:
label_list = []
for corpus in filtered_corpus:
classes = corpus["properties"][
"granularity"]
classes.append("poem")
classes.append(lang)
chk = gr.Checkbox(True,
label=corpus[
"name"],
info=f'License: {corpus["properties"]["license"]} | Number of poems: {corpus["properties"]["doc_quantity"]}',
interactive=True,
elem_classes=classes,
elem_id=corpus[
"properties"][
"slug"],
)
label = gr.Textbox(
value=corpus["properties"][
"slug"], visible=False)
# Corpus checkboxes change
chk.change(update_corpora_list,
[chk, label],
show_progress=False)
# "Select all" language checkboxes change
lang_chk.change(change_selection,
[lang_chk,
*label_list],
chk,
show_progress=False)
corpus_checkboxes.append(chk)
label_list.append(label)
all_label_list.append(label)
lang_checkboxes.append(lang_chk)
# "Select All/None" checkbox change
all_corp_chk.change(change_global_selection,
[all_corp_chk,
*all_label_list],
[*lang_checkboxes])
with gr.Column(scale=1) as c2:
accordions_boxes = rowa.children[1:]
rad_granularity.change(update_granularity,
rad_granularity,
[*corpus_checkboxes,
*lang_checkboxes,
*accordions_boxes],
show_progress=False)
rad_format.change(block_granularity,
rad_format,
rad_granularity,
api_name="output_format",
show_progress=False)
exp_btn = gr.Button("Export")
folder_path = gr.Label(value="corpora/", visible=False)
out_file = gr.File()
exp_btn.click(export,
[folder_path,
rad_format,
rad_granularity],
out_file,
api_name="export")
app_averell.launch(share=False, server_name="0.0.0.0", server_port=5741)