mirror of
https://github.com/searxng/searxng
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Update webapp.py
This commit is contained in:
Joseph Cheung
parent
75139c2e10
commit
5059a1ae1e
1 changed files with 141 additions and 124 deletions
263
searx/webapp.py
263
searx/webapp.py
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@ -1012,135 +1012,152 @@ Authorization: "Bearer '''+ os.environ['GPTKEY'] + r'''",
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};
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let prompt = JSON.parse(document.querySelector("#prompt").textContent);
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chatTextRawIntro = "";
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text_offset = -1;
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const optionsIntro = {
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method: "POST",
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headers: headers,
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body: JSON.stringify({
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"prompt": "你是一个叫Charles的搜索引擎机器人，用户搜索的是“''' + search_query.query + r'''”有关的信息。\n不要假定搜索结果。\n用简体中文写一句语言幽默的、含有emoji的引入语：\n",
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"max_tokens": 256,
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"temperature": 0,
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"top_p": 1,
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"frequency_penalty": 0,
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"presence_penalty": 2,
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"best_of": 1,
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"echo": false,
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"logprobs": 0,
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"stream": true
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})
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};
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fetch("https://api.openai.com/v1/engines/text-davinci-003/completions", optionsIntro)
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.then((responseIntro) => {
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const readerIntro = responseIntro.body.getReader();
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let result = '';
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readerIntro.read().then(function processText({ done, value }) {
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if (done) return;
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const textIntro = new TextDecoder('utf-8').decode(value);
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textIntro.trim().split('\n').forEach(function(v) {
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if(v.length>6) result = v.slice(6);
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if(result == "[DONE]")
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{
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return;
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}
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const { choices } = JSON.parse(result);
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if(choices[0].logprobs.text_offset[0] > text_offset)
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{
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chatTextRawIntro+=choices[0].text
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text_offset = choices[0].logprobs.text_offset[choices[0].logprobs.text_offset.length - 1]
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}
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markdownToHtml(beautify(chatTextRawIntro+'\n'), document.getElementById('chat_intro'));
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chatTextRawIntro = "";
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text_offset = -1;
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const optionsIntro = {
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method: "POST",
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headers: headers,
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body: JSON.stringify({
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"prompt": "你是一个叫Charles的搜索引擎机器人，用户搜索的是“''' + search_query.query + r'''”有关的信息。\n不要假定搜索结果。\n用简体中文写一句语言幽默的、含有emoji的引入语：\n",
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"max_tokens": 256,
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"temperature": 0,
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"top_p": 1,
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"frequency_penalty": 0,
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"presence_penalty": 2,
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"best_of": 1,
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"echo": false,
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"logprobs": 0,
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"stream": true
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})
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};
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fetch("https://api.openai.com/v1/engines/text-davinci-003/completions", optionsIntro)
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.then((responseIntro) => {
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const readerIntro = responseIntro.body.getReader();
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let result = '';
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readerIntro.read().then(function processText({ done, value }) {
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if (done) return;
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const textIntro = new TextDecoder('utf-8').decode(value);
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textIntro.trim().split('\n').forEach(function(v) {
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if(v.length>6) result = v.slice(6);
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if(result == "[DONE]")
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{
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text_offset = -1;
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const options = {
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method: "POST",
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headers: headers,
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body: JSON.stringify(prompt.data)
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};
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fetch("https://api.openai.com/v1/engines/text-davinci-003/completions", options)
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.then((response) => {
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const reader = response.body.getReader();
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let result = '';
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reader.read().then(function processText({ done, value }) {
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if (done) return;
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const text = new TextDecoder('utf-8').decode(value);
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text.trim().split('\n').forEach(function(v) {
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if(v.length>6) result = v.slice(6);
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if(result == "[DONE]")
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{
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chatTextRawPlusComment = chatTextRaw+"\n\n";
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text_offset = -1;
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const optionsPlus = {
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method: "POST",
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headers: headers,
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body: JSON.stringify({
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"prompt": "围绕关键词 ''' + search_query.query + r'''，结合你的知识总结归纳发表评论，不得重复提及已有内容：\n" + document.querySelector("#chat > p").innerHTML.replace(/<.*?>.*?<\/.*?>/g, '') +"\n",
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"max_tokens": 1500,
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"temperature": 0.7,
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"top_p": 1,
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"frequency_penalty": 0,
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"presence_penalty": 2,
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"best_of": 1,
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"echo": false,
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"logprobs": 0,
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"stream": true
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})
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};
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fetch("https://api.openai.com/v1/engines/text-davinci-003/completions", optionsPlus)
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.then((responsePlusComment) => {
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const readerPlusComment = responsePlusComment.body.getReader();
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let result = '';
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readerPlusComment.read().then(function processText({ done, value }) {
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if (done) return;
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const textPlusComment = new TextDecoder('utf-8').decode(value);
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textPlusComment.trim().split('\n').forEach(function(v) {
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if(v.length>6) result = v.slice(6);
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if(result == "[DONE]")
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{
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lock_chat = 0;
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document.getElementById('chat_continue').style.display="";
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return;
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}
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const { choices } = JSON.parse(result);
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if(choices[0].logprobs.text_offset[0] > text_offset)
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{
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chatTextRawPlusComment+=choices[0].text
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text_offset = choices[0].logprobs.text_offset[choices[0].logprobs.text_offset.length - 1]
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}
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markdownToHtml(beautify(chatTextRawPlusComment), document.getElementById('chat'));
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})
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return readerPlusComment.read().then(processText);
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});
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})
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.catch((error) => {
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console.error('Error:', error);
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});
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return;
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}
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const { choices } = JSON.parse(result);
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if(choices[0].logprobs.text_offset[0] > text_offset)
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{
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chatTextRaw+=choices[0].text
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text_offset = choices[0].logprobs.text_offset[choices[0].logprobs.text_offset.length - 1]
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}
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markdownToHtml(beautify(chatTextRaw), document.getElementById('chat'));
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})
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return readerIntro.read().then(processText);
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});
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})
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.catch((error) => {
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console.error('Error:', error);
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return reader.read().then(processText);
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});
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})
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.catch((error) => {
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console.error('Error:', error);
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});
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text_offset = -1;
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const options = {
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method: "POST",
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headers: headers,
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body: JSON.stringify(prompt.data)
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};
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fetch("https://api.openai.com/v1/engines/text-davinci-003/completions", options)
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.then((response) => {
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const reader = response.body.getReader();
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let result = '';
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reader.read().then(function processText({ done, value }) {
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if (done) return;
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const text = new TextDecoder('utf-8').decode(value);
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text.trim().split('\n').forEach(function(v) {
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if(v.length>6) result = v.slice(6);
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if(result == "[DONE]")
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{
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chatTextRawPlusComment = chatTextRaw+"\n";
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text_offset = -1;
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const optionsPlus = {
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method: "POST",
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headers: headers,
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body: JSON.stringify({
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"prompt": "围绕关键词 ''' + search_query.query + r'''，结合你的知识总结归纳发表评论，不得重复提及已有内容：\n" + document.querySelector("#chat > p").innerHTML.replace(/<.*?>.*?<\/.*?>/g, '') +"\n",
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"max_tokens": 1500,
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"temperature": 0.7,
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"top_p": 1,
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"frequency_penalty": 0,
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"presence_penalty": 2,
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"best_of": 1,
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"echo": false,
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"logprobs": 0,
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"stream": true
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})
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};
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fetch("https://api.openai.com/v1/engines/text-davinci-003/completions", optionsPlus)
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.then((responsePlusComment) => {
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const readerPlusComment = responsePlusComment.body.getReader();
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let result = '';
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readerPlusComment.read().then(function processText({ done, value }) {
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if (done) return;
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const textPlusComment = new TextDecoder('utf-8').decode(value);
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textPlusComment.trim().split('\n').forEach(function(v) {
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if(v.length>6) result = v.slice(6);
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if(result == "[DONE]")
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{
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lock_chat = 0;
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document.getElementById('chat_continue').style.display="";
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return;
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}
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const { choices } = JSON.parse(result);
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if(choices[0].logprobs.text_offset[0] > text_offset)
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{
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chatTextRawPlusComment+=choices[0].text
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text_offset = choices[0].logprobs.text_offset[choices[0].logprobs.text_offset.length - 1]
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}
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markdownToHtml(beautify(chatTextRawPlusComment), document.getElementById('chat'));
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})
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return readerPlusComment.read().then(processText);
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});
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})
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.catch((error) => {
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console.error('Error:', error);
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});
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return;
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}
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const { choices } = JSON.parse(result);
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if(choices[0].logprobs.text_offset[0] > text_offset)
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{
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chatTextRaw+=choices[0].text
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text_offset = choices[0].logprobs.text_offset[choices[0].logprobs.text_offset.length - 1]
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}
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markdownToHtml(beautify(chatTextRaw), document.getElementById('chat'));
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})
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return reader.read().then(processText);
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});
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})
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.catch((error) => {
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console.error('Error:', error);
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});
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return;
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}
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const { choices } = JSON.parse(result);
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if(choices[0].logprobs.text_offset[0] > text_offset)
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{
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chatTextRawIntro+=choices[0].text
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text_offset = choices[0].logprobs.text_offset[choices[0].logprobs.text_offset.length - 1]
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}
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markdownToHtml(beautify(chatTextRawIntro+'\n'), document.getElementById('chat_intro'));
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})
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return readerIntro.read().then(processText);
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});
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})
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.catch((error) => {
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console.error('Error:', error);
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});
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</script>
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'''
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