import gradio as gr
description = """
Norsk UD (Bokmål og Nynorsk)
"""
text = """1 President President PROPN NNP Number=Sing 5 nsubj 5:nsubj _
2 Bush Bush PROPN NNP Number=Sing 1 flat 1:flat _
3 on on ADP IN _ 4 case 4:case _
4 Tuesday Tuesday PROPN NNP Number=Sing 5 obl 5:obl:on _
5 nominated nominate VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root 0:root _
6 two two NUM CD NumType=Card 7 nummod 7:nummod _
7 individuals individual NOUN NNS Number=Plur 5 obj 5:obj _
8 to to PART TO _ 9 mark 9:mark _
9 replace replace VERB VB VerbForm=Inf 5 advcl 5:advcl:to _
10 retiring retire VERB VBG VerbForm=Ger 11 amod 11:amod _
11 jurists jurist NOUN NNS Number=Plur 9 obj 9:obj _
12 on on ADP IN _ 14 case 14:case _
13 federal federal ADJ JJ Degree=Pos 14 amod 14:amod _
14 courts court NOUN NNS Number=Plur 11 nmod 11:nmod:on _
15 in in ADP IN _ 18 case 18:case _
16 the the DET DT Definite=Def|PronType=Art 18 det 18:det _
17 Washington Washington PROPN NNP Number=Sing 18 compound 18:compound _
18 area area NOUN NN Number=Sing 14 nmod 14:nmod:in SpaceAfter=No
19 . . PUNCT . _ 5 punct 5:punct _"""
forms = [
line.split("\t")[1]
for line in text.split("\n")
if line and not line.startswith("#")
]
lemmas = [
line.split("\t")[2]
for line in text.split("\n")
if line and not line.startswith("#")
]
upos = [
line.split("\t")[3]
for line in text.split("\n")
if line and not line.startswith("#")
]
xpos = [
line.split("\t")[4]
for line in text.split("\n")
if line and not line.startswith("#")
]
feats = [
line.split("\t")[5]
for line in text.split("\n")
if line and not line.startswith("#")
]
metadata = [
line.split("\t")[9]
for line in text.split("\n")
if line and not line.startswith("#")
]
edges = [
int(line.split("\t")[6])
for line in text.split("\n")
if line and not line.startswith("#")
]
edge_labels = [
line.split("\t")[7]
for line in text.split("\n")
if line and not line.startswith("#")
]
with gr.Blocks(theme='sudeepshouche/minimalist') as demo:
gr.HTML(description)
gr.Dataframe([forms], interactive=False, type="array")
with gr.Accordion("Lemmas", open=True):
gr.Dataframe([lemmas], interactive=False, type="array")
with gr.Accordion("UPOS", open=True):
gr.Dataframe([upos], interactive=False, type="array")
with gr.Accordion("XPOS", open=True):
gr.Dataframe([xpos], interactive=False, type="array")
with gr.Accordion("UFeats", open=True):
feats = [feat.split("|") for feat in feats]
max_len = max([len(feat) for feat in feats])
feats = [feat + [""] * (max_len - len(feat)) for feat in feats]
feats = list(zip(*feats))
gr.Dataframe([feats], interactive=False, type="array")
demo.launch()