Spaces:
Build error
Build error
File size: 3,137 Bytes
0d3b770 09b648b a14002e 0d3b770 e9b7721 618bce3 0d3b770 a14002e c63e932 618bce3 31ba554 a14002e a463b89 618bce3 a463b89 a14002e a463b89 a14002e 618bce3 a14002e 618bce3 a14002e 0d3b770 a14002e 0d3b770 a14002e 0d3b770 618bce3 0d3b770 618bce3 0d3b770 a14002e 618bce3 0d3b770 |
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 |
from textblob import TextBlob
import gradio as gr
import os
os.system("python -m textblob.download_corpora")
string_json={
'control':'0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMN',
}
cont_list=list(string_json['control'])
def get_nouns(text):
json_object={}
sen_list=[]
noun_list=[]
blob = TextBlob(text)
for sentence in blob.sentences:
print(sentence)
sen_list.append(str(sentence))
key_cnt=len(sen_list)
cnt=0
go=True
a="Z"
if go:
for ea in range(10):
if go:
for b in range(50):
if go:
for c in range(50):
if go:
for d in range(50):
if go:
#for i,ea in enumerate(key_list):
#json_object[sen_list[cnt]]=f'{a}{cont_list[b]}{cont_list[c]}{cont_list[d]}'
blob_n = TextBlob(sen_list[cnt])
json_object[f'{a}{cont_list[b]}{cont_list[c]}{cont_list[d]}']={'sentence':sen_list[cnt],'nouns':blob_n.noun_phrases}
if json_object[f'{a}{cont_list[b]}{cont_list[c]}{cont_list[d]}']=='ZNNN':
#if json_object[sen_list[cnt]]=='ZNNN':
#print ("Y")
a="Y"
b=0
c=0
d=0
if json_object[f'{a}{cont_list[b]}{cont_list[c]}{cont_list[d]}']=='YNNN':
#print("X")
a="X"
b=0
c=0
d=0
if cnt == key_cnt-1:
print('done')
go=False
print(list(json_object.keys())[-1])
else:
cnt+=1
#print(blob.tags) # [('The', 'DT'), ('titular', 'JJ'),
# ('threat', 'NN'), ('of', 'IN'), ...]
#print(blob.parse())
#print(blob.noun_phrases) # WordList(['titular threat', 'blob',
# 'ultimate movie monster',
# 'amoeba-like mass', ...])
return json_object
with gr.Blocks() as app:
inp = gr.Textbox(lines=10)
btn = gr.Button()
with gr.Row():
with gr.Column(scale=2):
sen=gr.JSON(label="Sentences")
with gr.Column(scale=1):
nouns=gr.JSON(label="Nouns")
btn.click(get_nouns,inp,[sen,nouns])
app.launch()
|