File size: 3,028 Bytes
ada9d7c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 |
import gradio as gr
description = """
<div style="text-align: center;">
<h1>Norsk UD (Bokmål og Nynorsk)</h1>
<p align="center">
<img src="https://huggingface.co/ltg/norbert3-base/resolve/main/norbert.png" width=6.75%>
</p><p></p>
</div>
"""
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()
|