File size: 837 Bytes
195a6be |
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 |
import gradio as gr
import os
os.system('python -m spacy download en_core_web_sm')
import spacy
from spacy import displacy
nlp = spacy.load("en_core_web_sm")
def text_analysis(text):
doc = nlp(text)
html = displacy.render(doc, style="dep", page=True)
html = (
""
+ html
+ ""
)
pos_count = {
"char_count": len(text),
"token_count": 0,
}
pos_tokens = []
for token in doc:
pos_tokens.extend([(token.text, token.pos_), (" ", None)])
return pos_tokens, pos_count, html
demo = gr.Interface(
text_analysis,
gr.Textbox(placeholder="Enter sentence here..."),
["highlight", "json", "html"],
examples=[
["What a beautiful morning for a walk!"],
["It was the best of times, it was the worst of times."],
],
)
demo.launch()
|