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This commit is contained in:
Joseph Cheung 2023-03-06 14:04:58 +08:00
parent b3309d3d3b
commit 0b28bca586
2 changed files with 26 additions and 12 deletions
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19
searx/webapp.py
View file

@ -1964,7 +1964,7 @@ function trimArray(array,len) {
}
}
function send_modalchat(elem)
function send_modalchat(elem,word_en)
{
let word = document.querySelector("#chat_input").value;
if(elem){word = elem.textContent;elem.remove()}
@ -1981,7 +1981,7 @@ function send_modalchat(elem)
promptWebpage = 'PDF标题：'+ article.title +'\n'
promptWebpage = promptWebpage +'PDF内容：\n'
sentences.sort((a, b) => {
if (cosineSimilarity(word,a[1]) > cosineSimilarity(word,b[1])) {
if (cosineSimilarity(word + ' ' + word_en,a[1]) > cosineSimilarity(word + ' ' + word_en,b[1])) {
return -1
} else {
return 1
@ -2004,7 +2004,7 @@ function send_modalchat(elem)
promptWebpage = promptWebpage +'网页内容：\n'
fulltext.sort((a, b) => {
if (cosineSimilarity(word,a) > cosineSimilarity(word,b)) {
if (cosineSimilarity(word + ' ' + word_en,a) > cosineSimilarity(word + ' ' + word_en,b)) {
return -1
} else {
return 1
@ -2101,14 +2101,21 @@ prev_chat = prev_chat+'<div class="chat_question">'+document.querySelector("#pro
}
function send_chat(elem)
{
let word = document.querySelector("#chat_input").value;
if(document.querySelector("#modal").style.display == 'block')
{
return send_modalchat(elem);
let word_en
fetch("https://search.kg/translate_a/single?client=gtx&dt=t&dj=1&ie=UTF-8&sl=auto&tl=en&q=" + word)
.then(res => res.json())
.then(json => {
send_modalchat(elem,json['sentences'][0]['trans']);
});
return;
}
let word = document.querySelector("#chat_input").value;
if(elem){word = elem.textContent;elem.remove()}
regexpdf = /https?:\/\/\S+\.pdf(\?\S*)?/g
if(word.match(regexpdf))

19
searx/webapp1.py
View file

@ -1964,7 +1964,7 @@ function trimArray(array,len) {
}
}
function send_modalchat(elem)
function send_modalchat(elem,word_en)
{
let word = document.querySelector("#chat_input").value;
if(elem){word = elem.textContent;elem.remove()}
@ -1981,7 +1981,7 @@ function send_modalchat(elem)
promptWebpage = 'PDF标题：'+ article.title +'\n'
promptWebpage = promptWebpage +'PDF内容：\n'
sentences.sort((a, b) => {
if (cosineSimilarity(word,a[1]) > cosineSimilarity(word,b[1])) {
if (cosineSimilarity(word + ' ' + word_en,a[1]) > cosineSimilarity(word + ' ' + word_en,b[1])) {
return -1
} else {
return 1
@ -2004,7 +2004,7 @@ function send_modalchat(elem)
promptWebpage = promptWebpage +'网页内容：\n'
fulltext.sort((a, b) => {
if (cosineSimilarity(word,a) > cosineSimilarity(word,b)) {
if (cosineSimilarity(word + ' ' + word_en,a) > cosineSimilarity(word + ' ' + word_en,b)) {
return -1
} else {
return 1
@ -2101,14 +2101,21 @@ prev_chat = prev_chat+'<div class="chat_question">'+document.querySelector("#pro
}
function send_chat(elem)
{
let word = document.querySelector("#chat_input").value;
if(document.querySelector("#modal").style.display == 'block')
{
return send_modalchat(elem);
let word_en
fetch("https://search.kg/translate_a/single?client=gtx&dt=t&dj=1&ie=UTF-8&sl=auto&tl=en&q=" + word)
.then(res => res.json())
.then(json => {
send_modalchat(elem,json['sentences'][0]['trans']);
});
return;
}
let word = document.querySelector("#chat_input").value;
if(elem){word = elem.textContent;elem.remove()}
regexpdf = /https?:\/\/\S+\.pdf(\?\S*)?/g
if(word.match(regexpdf))