⭐前言
大家好,我是yma16,本文分享关于 让大模型分析csdn文章质量 —— 提取csdn博客评论在开源大模型分析评论区内容。
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什么是自然语言处理
自然语言处理(Natural Language Processing,简称NLP),指的是计算机科学和人工智能领域中研究人类语言和计算机之间的相互作用的一门技术。其目标是让计算机能够理解、处理、生成和运用自然语言。NLP技术包括文本分类、情感分析、语言翻译、问答系统等诸多领域,应用广泛。
insicode演示项目
⭐技术栈选择
前端:vue3 + antd
后端:python + django
引用开源大模型: 文心一言
⭐前端页面搭建
vue3搭建页面
<script setup lang="ts"> import { reactive } from 'vue' import { getRemoteCsdnCommit, askGpt } from '../../service/csdnApi.js' import { message } from 'ant-design-vue'; const state: any = reactive({ loading: false, analysis:'', text: '', articleId: '133955447', page: 1, pageSize: 10, unfold: '', commitId: '' }) const getCommit = async () => { state.loading = true state.text = '' const params = { ...state } delete params.text delete params.loading try { const result = await getRemoteCsdnCommit(params) console.log(result, 'result') const { data } = result?.data if (data?.list) { state.text = data.list.map((item:any) => item.info.content).join(',') } } catch (e) { message.warning(JSON.stringify(e)) } finally { state.loading = false } } const analysisCommit = async () => { try { console.log('state.text',state.text) const res = await askGpt({ content: '帮我分析总结这些评论' + state.text }) if(res?.data?.result){ state.analysis=res?.data?.result } } catch (e) { message.warn(JSON.stringify(e)) } } </script> <template> <a-spin :spinning="state.loading"> <div> <div style="display: flex;"> <div style="width:50%"> <div> articleId: <a-input v-model:value="state.articleId" /> </div> <div> page: <a-input v-model:value="state.page" /> </div> <div> pageSize: <a-input v-model:value="state.pageSize" /> </div> <div> unfold: <a-input v-model:value="state.unfold" /> </div> <div> commitId: <a-input v-model:value="state.commitId" /> </div> </div> <div style="width:50%;display: flex;justify-content: center;align-items: center;"> <a-button @click="getCommit">获取评论</a-button> </div> </div> <div> <div class="des"> 评论 </div> <a-textarea v-model:value="state.text" placeholder="评论" :disabled="state.loading" :auto-size="{ minRows: 2, maxRows: 5 }" /> </div> <div style="margin-top:10px;;width:100%;display: flex;justify-content: center;align-items: center;"> <a-button @click="analysisCommit">文心一言分析评论</a-button> </div> <div style="margin-top:10px;"> <div class="des"> 生成的文章总结 </div> <a-textarea v-model:value="state.analysis" placeholder="生成的文章总结" readonly :auto-size="{ minRows: 2, maxRows: 5 }" /> </div> </div> </a-spin> </template>
页面效果
⭐后端获取数据暴露接口
分析接口:
💖requests获取数据
import requests def get_article_commit(articleId,page,pageSize,unfold,commentId): requestUrl="https://blog.csdn.net/phoenix/web/v1/comment/list/{articleId}?page={page}&size={pageSize}&fold={unfold}&commentId={commentId}".\ format(articleId=articleId,page=page,pageSize=pageSize,unfold=unfold,commentId=commentId) refererUrl = 'https://blog.csdn.net/qq_38870145/article/details/{articleId}'.format(articleId=articleId) headers = { "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36", "origin": "https://blog.csdn.net", "referer": refererUrl } resp=requests.get(requestUrl,headers=headers) print('评论结果:',resp.json()) if __name__=='__main__': get_article_commit('133955447',1,10,'unfold','')
获取数据成功!
💖 django 抛出api 接口
django views视图
# 获取csdn 评论 def getCsdnCommit(request): if request.method == 'GET': articleId = request.GET.get('articleId', default='') page = request.GET.get('page', default='') pageSize = request.GET.get('pageSize', default='') unfold = request.GET.get('unfold', default='') commentId = request.GET.get('commentId', default='') if len(articleId) == 0: return JsonResponse({"data": {}, "code": 0, "msg": 'articleId is null'}) return JsonResponse({"data": get_article_commit(articleId,page,pageSize,unfold,commentId), "code": 200,"msg":'success'}) # 获取文章评论 def get_article_commit(articleId,page,pageSize,unfold,commentId): requestUrl="https://blog.csdn.net/phoenix/web/v1/comment/list/{articleId}?page={page}&size={pageSize}&fold={unfold}&commentId={commentId}".\ format(articleId=articleId,page=page,pageSize=pageSize,unfold=unfold,commentId=commentId) refererUrl = 'https://blog.csdn.net/qq_38870145/article/details/{articleId}'.format(articleId=articleId) headers = { "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36", "origin": "https://blog.csdn.net", "referer": refererUrl } resp=requests.get(requestUrl,headers=headers) if resp.json()['code'] is 200: return resp.json()['data'] return { 'count':0, 'pageCount':0, 'foldCount':0, 'list':[] }
⭐效果
查询评论
总结评论
⭐结束
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