File size: 2,804 Bytes
c5b16f9 94349ba |
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 |
import json
import streamlit as st
from pyserini.search.lucene import LuceneSearcher
class SearchApplication:
def __init__(self):
self.title = "Awesome Japanese NLP resources search"
self.set_page_config()
self.searcher = self.set_searcher()
st.header(self.title)
col1, col2 = st.columns(2)
with col1:
self.query = st.text_input(
"Search English or Japanese words", value=""
)
with col2:
st.write("#")
self.search_button = st.button("🔎")
st.caption(
"You can search for open-source software from [400+ Japanese NLP"
" repositories](https://github.com/taishi-i/awesome-japanese-nlp-resources)."
)
st.write("#")
self.show_popular_words()
self.show_search_results()
def set_page_config(self):
st.set_page_config(
page_title=self.title,
page_icon="😎",
layout="centered",
)
def set_searcher(self):
searcher = LuceneSearcher("indexes/docs")
searcher.set_language("ja")
return searcher
def show_popular_words(self):
st.caption("Popular words")
word1, word2, word3, word4, _ = st.columns(5)
with word1:
button1 = st.button("Python")
if button1:
self.query = "Python"
with word2:
button2 = st.button("BERT")
if button2:
self.query = "BERT"
with word3:
button3 = st.button("辞書")
if button3:
self.query = "辞書"
with word4:
button4 = st.button("コーパス")
if button4:
self.query = "Corpus"
def show_search_results(self):
if self.query or self.search_button:
st.write("#")
search_results = self.searcher.search(self.query, k=500)
num_search_results = len(search_results)
st.write(f"{num_search_results} results")
for result in search_results:
data_json = json.loads(result.raw)
description = data_json["description"]
url = data_json["url"]
project_name = data_json["project_name"]
main_topic = data_json["main_topic"]
sub_topic = data_json["sub_topic"]
st.subheader(f"[{project_name}]({url})")
st.markdown(description)
if sub_topic is None:
st.caption(f"{main_topic}")
else:
st.caption(f"{main_topic} / {sub_topic}")
st.write("#")
def main():
SearchApplication()
if __name__ == "__main__":
main()
|