{"id":53723,"date":"2025-02-16T15:52:18","date_gmt":"2025-02-16T07:52:18","guid":{"rendered":"https:\/\/fwq.ai\/blog\/53723\/"},"modified":"2025-02-16T15:52:18","modified_gmt":"2025-02-16T07:52:18","slug":"deepseek-apisearxng%e8%81%94%e7%bd%91%e6%90%9c%e7%b4%a2","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/53723\/","title":{"rendered":"DeepSeek API+SearXNG\u8054\u7f51\u641c\u7d22"},"content":{"rendered":"<p><strong>\u672c\u6587\u6700\u521d\u53d1\u5e03\u5728\u6211\u7684Substack\u901a\u8baf\u4e2d\uff1a\u201c\u3002\u201d<\/strong> \u90a3\u4e2a\u901a\u8baf\u662f\u4e3a\u90a3\u4e9b\u6280\u672f\u80cc\u666f\u4e0d\u5982\u6211\u7684Medium\u8bfb\u8005\u7684\u8bfb\u8005\u51c6\u5907\u7684\u3002<strong>\u56e0\u6b64\uff0c\u5982\u679c\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86\u8fd9\u4e9b\u5de5\u5177\uff0c\u53ef\u4ee5\u8df3\u8fc7\u8bbe\u7f6e\u90e8\u5206\u3002<\/strong><\/p>\n<p>\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u5c06\u63d0\u4f9b\u4e00\u4e2a\u5feb\u901f\u6982\u8ff0\uff0c\u8bf4\u660e\u5982\u4f55\u4f7f\u7528\u5f00\u6e90\u7684DeepSeek R1\u6a21\u578b\u5728\u672c\u5730\u642d\u5efa\u4e00\u4e2a\u80fd\u591f\u8fdb\u884c\u7f51\u7edc\u641c\u7d22\u7684\u804a\u5929\u673a\u5668\u4eba\u3002<\/p>\n<p>\u8fd9\u5c06\u662f\u4e00\u9879\u76f8\u5f53\u6280\u672f\u6027\u7684\u4efb\u52a1\uff0c\u6211\u5728\u8003\u8651\u65f6\u611f\u5230\u5f88\u56f0\u96be\uff0c\u56e0\u4e3a\u901a\u8baf\u5b9a\u4f4d\u4e3a\u4ee5\u975e\u6280\u672f\u6027\u7684\u65b9\u5f0f\u89e3\u91ca\u6280\u672f\u5185\u5bb9\uff0c\u4f46\u4e3a\u4e86\u5e2e\u52a9\u90a3\u4e9b\u60f3\u5f00\u59cbAI\u4e4b\u65c5\u7684\u4eba\u4eec\uff0c\u6211\u8fd8\u662f\u51b3\u5b9a\u5199\u8fd9\u7bc7\u6587\u7ae0\u3002<\/p>\n<p>\u6211\u5c3d\u529b\u4ee5\u975e\u6280\u672f\u6027\u7684\u65b9\u5f0f\u89e3\u91ca\uff08\u56e0\u4e3a\u6211\u4eec\u662f\u534a\u4e13\u5bb6\uff0c\u5bf9\u5427\uff1f\uff09\uff0c\u4f46\u5982\u679c\u60a8\u4ecd\u7136\u6709\u4efb\u4f55\u95ee\u9898\uff0c\u8bf7\u5728Substack\u4e0a\u7ed9\u6211\u53d1\u79c1\u4fe1\uff08\u7279\u522b\u662f\u5982\u679c\u60a8\u4f7f\u7528\u7684\u662fWindows\uff1b\u6211\u662f\u7528Mac\u5b8c\u6210\u8fd9\u4e2a\u8bbe\u7f6e\u7684\uff09\u3002<\/p>\n<h2>1\u3001\u671f\u671b<\/h2>\n<p>\u6309\u7167\u8fd9\u4e2a\u5feb\u901f\u6307\u5357\u64cd\u4f5c\u540e\uff0c\u4f60\u53ef\u4ee5\u5728\u7b14\u8bb0\u672c\u7535\u8111\u6216\u53f0\u5f0f\u673a\u4e0a\u542f\u52a8\u4e00\u4e2a\u7b80\u5316\u7684\u804a\u5929\u673a\u5668\u4eba\uff0c\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n<p>  \u4e00\u4e2a\u7531DeepSeek R1\u9a71\u52a8\u7684\u57fa\u672c\u804a\u5929\u673a\u5668\u4eba\uff0c\u80fd\u591f\u6267\u884c\u7f51\u7edc\u641c\u7d22 <\/p>\n<p><em>\uff08\u8f93\u51fa\u683c\u5f0f\u53ef\u4ee5\u66f4\u7f8e\u89c2\u4e00\u4e9b\uff0c\u4f46\u7a0d\u540e\u518d\u505a\u3002\u6211\u5f3a\u8feb\u81ea\u5df1\u4eca\u5929\u53d1\u5e03\u8fd9\u7bc7\u6587\u7ae0\uff09<\/em><\/p>\n<p>\u6211\u4eec\u5c06\u901a\u8fc7\u57fa\u672c\u8bbe\u7f6e\u548c\u5206\u6b65\u6307\u5357\u6765\u542f\u52a8\u60a8\u7684AI\u5b66\u4e60\u4e4b\u65c5\u3002<\/p>\n<h2>2\u3001\u4e3a\u4ec0\u4e48\u5728\u672c\u5730\u8fd0\u884c\uff1f<\/h2>\n<p>\u6211\u4e0d\u80fd\u4f7f\u7528DeepSeek\u5e94\u7528\u7a0b\u5e8f\/\u7f51\u9875\u7248\u672c\u5417\uff1f<\/p>\n<p>\u5f53\u7136\u53ef\u4ee5\u3002<\/p>\n<p>\u968f\u7740DeepSeek AI\u52a9\u624b\u8d8a\u6765\u8d8a\u53d7\u6b22\u8fce\uff0c\u6211\u770b\u5230\u8fd9\u79cd\u60c5\u51b5\u7684\u9891\u7387\u8d8a\u6765\u8d8a\u9ad8\uff1a<\/p>\n<p>\u6211\u53ef\u4ee5\u60f3\u8c61\u5b83\u6709\u591a\u5fd9\u3002<\/p>\n<p>\u2026\u2026\u800c\u4e14\u8fd9\u79cd\u60c5\u51b5\u53ef\u80fd\u4f1a\u6301\u7eed\u4e00\u6bb5\u65f6\u95f4\u3002<\/p>\n<p>\u6b64\u5916\uff0c\u4eba\u4eec\u53ef\u80fd\u5bf9\u4f7f\u7528\u8fd9\u4e9b\u516c\u53f8\u7684AI\u52a9\u624b\u670d\u52a1\u6709\u9690\u79c1\u987e\u8651\u3002<\/p>\n<p>\u5982\u679c\u4ec5\u5728\u4f60\u7684\u8ba1\u7b97\u673a\u4e0a\u8fd0\u884c\uff0c\u5219\u4e0d\u4f1a\u6709\u8fd9\u79cd\u62c5\u5fe7\u3002<\/p>\n<p>\u6700\u540e\uff0c\u5982\u679c\u4f60\u60f3\u5b66\u4e60AI\uff0c\u8fd9\u4e5f\u662f\u719f\u6089\u4e00\u4e9b\u5f00\u53d1\u5de5\u5177\u7684\u597d\u65b9\u6cd5\u3002<\/p>\n<h2>3\u3001\u8bbe\u7f6e\u8d44\u6e90<\/h2>\n<p>\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/p>\n<ul>\n<li>\u4f60\u7684\u672c\u5730\u547d\u4ee4\u7ec8\u7aef\uff08\u53ea\u9700\u5728Mac\u4e0a\u8fdb\u5165\u201c\u7ec8\u7aef\u201d\uff0c\u5728Windows\u4e0a\u8fdb\u5165\u201c\u547d\u4ee4\u63d0\u793a\u7b26\u201d\uff09<\/li>\n<li>Python<\/li>\n<li>Docker Desktop<\/li>\n<li>\u4ee3\u7801\u7f16\u8f91\u5668<\/li>\n<\/ul>\n<h3>3.1 \u5b89\u88c5Ollama<\/h3>\n<p>Ollama\u5141\u8bb8\u4f60\u5728\u672c\u5730\u8fd0\u884c\u548c\u7ba1\u7406\u5927\u578b\u8bed\u8a00\u6a21\u578b\u3002<\/p>\n<p>\u9996\u5148\uff0c\u6211\u4eec\u4ece\u7f51\u7ad9\u4e0b\u8f7dOllama\uff1a<\/p>\n<p>  Ollama\u4e0b\u8f7d\u9875\u9762 <\/p>\n<ul>\n<li>\u6839\u636e\u4f60\u7684\u64cd\u4f5c\u7cfb\u7edf\u9009\u62e9\u76f8\u5e94\u7684\u5305\u3002<\/li>\n<li>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6253\u5f00\u4f60\u7684<strong>\u7ec8\u7aef<\/strong>\u3002<\/li>\n<\/ul>\n<h3>3.2 \u5b89\u88c5DeepSeek R1\u6a21\u578b<\/h3>\n<p>\u5728\u7ec8\u7aef\u4e2d\u952e\u5165\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/p>\n<pre><code>ollama run deepseek-r1:14b\n<\/code><\/pre>\n<p>\u8bf7\u6ce8\u610f\uff0c\u8fd9\u5c06\u5360\u7528\u5927\u7ea69GB\u7684\u78c1\u76d8\u7a7a\u95f4\u3002<\/p>\n<p>DeepSeek R1\u8fd8\u63d0\u4f9b\u4e86\u5176\u4ed6\u8f83\u5c0f\u7684\u84b8\u998f\u6a21\u578b\u53ef\u4f9b\u4e0b\u8f7d\u3002\u4f46\u662f\uff0c\u6211\u4f7f\u7528\u53c2\u6570\u5c0f\u4e8e140\u4ebf\u7684\u6a21\u578b\u65f6\u9047\u5230\u4e86\u4e0d\u597d\u7684\u4f53\u9a8c\u3002<\/p>\n<p>\u8fd0\u884c\u4e0a\u8ff0\u547d\u4ee4\u540e\uff0c\u4f60\u5e94\u8be5\u4f1a\u770b\u5230\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u7ec8\u7aef\uff0c\u8ba9\u4f60\u8f93\u5165\u63d0\u793a\uff1a<\/p>\n<pre><code>(base) dylanoh@Dylans-MacBook-Pro search % ollama run deepseek-r1:14b  \npulling manifest  \npulling 6e9f90f02bb3... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f 9.0 GB  \npulling 369ca498f347... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f  387 B  \npulling 6e4c38e1172f... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f 1.1 KB  \npulling f4d24e9138dd... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f  148 B  \npulling 3c24b0c80794... 100% \u2595\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u258f  488 B  \nverifying sha256 digest  \nwriting manifest  \nsuccess  \n&gt;&gt;&gt;\n<\/code><\/pre>\n<p>\u73b0\u5728\u4f60\u53ef\u4ee5\u5f00\u59cb\u4e0eDeepSeek R1\u6a21\u578b\u804a\u5929\u4e86\uff01<\/p>\n<pre><code>&gt;&gt;&gt; Hey DeepSeek, how are you doing today!  \n&lt;think&gt;\n<\/code><\/pre>\n<pre><code>&lt;\/think&gt;Hi! I'm just a virtual assistant, so I don't have feelings, but thanks for asking! How can I help you today?\n<\/code><\/pre>\n<p>\u76f4\u767d\u7684\u56de\u7b54\u3002<\/p>\n<p>\u4e0d\u8fc7\uff0c\u8fd9\u662f\u4e00\u4e2a\u597d\u7684\u5f00\u59cb\uff0c\u56e0\u4e3a\u8fd9\u4e2aDeepSeek\u6a21\u578b\u73b0\u5728\u5df2\u7ecf\u5728\u60a8\u7684\u8ba1\u7b97\u673a\u4e0a\u8fd0\u884c\u4e86\uff08\u6309Ctrl + d\u9000\u51fa\u4e0e\u6a21\u578b\u7684\u5bf9\u8bdd\uff09\u3002<\/p>\n<h3>3.3 \u8fd0\u884c\u641c\u7d22\u5f15\u64ce<\/h3>\n<p>\u6211\u4eec\u5728\u672c\u6f14\u793a\u4e2d\u4f7f\u7528SearXNG\u3002<\/p>\n<p>SearXNG\u662f\u4e00\u4e2a\u5f00\u6e90\u641c\u7d22\u5f15\u64ce\uff0c\u805a\u5408\u6765\u81ea\u591a\u4e2a\u5f15\u64ce\u7684\u7ed3\u679c\u800c\u4e0d\u5b58\u50a8\u6216\u8ddf\u8e2a\u7528\u6237\u6570\u636e\u3002\u8fd9\u91cc\u6709\u4e00\u4e2a\u89c6\u9891\u63d0\u4f9b\u4e86\u66f4\u591a\u6280\u672f\u6307\u5bfc\uff1a<\/p>\n<p>\u6211\u4eec\u5c06\u4f7f\u7528Docker Compose\u5feb\u901f\u8bbe\u7f6e\u5b83\u3002<\/p>\n<p>\u6253\u5f00\u4f60\u7684\u4ee3\u7801\u7f16\u8f91\u5668\u6216\u4efb\u4f55\u6587\u672c\u7f16\u8f91\u5668\uff0c\u5e76\u7c98\u8d34\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/p>\n<pre><code>version: '3.8'  \nservices:  \n  searxng:  \n    image: docker.io\/searxng\/searxng:latest  \n    container_name: searxng  \n    ports:  \n      - \"4000:8080\"  \n    volumes:  \n      - .\/searxng:\/etc\/searxng  \n    restart: unless-stopped\n<\/code><\/pre>\n<p>\u5c06\u6587\u4ef6\u4fdd\u5b58\u4e3a\u201cdocker-compose.yml\u201d\u3002<\/p>\n<p>\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5728\u4fdd\u5b58\u201cdocker-compose.yml\u201d\u7684\u540c\u4e00\u76ee\u5f55\u4e0b\u7684\u7ec8\u7aef\u4e2d\u952e\u5165\u4ee5\u4e0b\u5185\u5bb9\u6765\u542f\u52a8\u641c\u7d22\u5f15\u64ce\u3002<\/p>\n<pre><code>docker-compose up -d\n<\/code><\/pre>\n<p>\u5b83\u5c06\u4e0b\u8f7dsearxng\u955c\u50cf\uff0c\u4e00\u65e6\u4f60\u770b\u5230\u4ee5\u4e0b\u5185\u5bb9\uff0c\u641c\u7d22\u5f15\u64ce\u5c06\u5728\u4f60\u7684\u8ba1\u7b97\u673a\u4e0a\u8fd0\u884c\u3002<\/p>\n<pre><code>Creating network \"search_default\" with the default driver  \nCreating searxng ... done\n<\/code><\/pre>\n<p>\u6253\u5f00\u4f60\u7684\u6d4f\u89c8\u5668\uff0c\u5c06\u80fd\u591f\u5728\u770b\u5230\u4e00\u4e2a\u641c\u7d22\u754c\u9762\uff1a<\/p>\n<p>  SearXNG\u7528\u6237\u754c\u9762 <\/p>\n<p>\u7a0d\u540e\uff0c\u5728\u6211\u4eec\u7684Python\u811a\u672c\u4e2d\uff0c\u6211\u4eec\u5c06\u4f7f\u7528\u6b63\u5728\u8fd0\u884c\u7684\u641c\u7d22\u5f15\u64ce\u7684API\uff08\u5e94\u7528\u7a0b\u5e8f\u7f16\u7a0b\u63a5\u53e3\uff09\u6765\u6267\u884c\u7f51\u7edc\u641c\u7d22\u3002<\/p>\n<h3>3.4 \u5b89\u88c5Gradio<\/h3>\n<p>\u6211\u4fdd\u8bc1\u6211\u4eec\u4e0d\u4f1a\u79bb\u770b\u5230\u804a\u5929\u673a\u5668\u4eba\u592a\u8fdc\u3002<\/p>\n<p>\u73b0\u5728\u8ba9\u6211\u4eec\u5b89\u88c5\u7528\u6237\u754c\u9762\u7684\u4e00\u4e2a\u91cd\u8981\u7ec4\u4ef6\uff1a<\/p>\n<pre><code>pip install gradio\n<\/code><\/pre>\n<p> \u662f\u4e00\u4e2a\u5f00\u6e90\u7684Python\u5e93\uff0c\u53ef\u4ee5\u8ba9\u60a8\u65e0\u9700\u4efb\u4f55\u524d\u7aef\u5f00\u53d1\u6280\u80fd\u5c31\u80fd\u4e3a\u60a8\u7684Python\u811a\u672c\u548c\u673a\u5668\u5b66\u4e60\u6a21\u578b\u521b\u5efa\u4ea4\u4e92\u5f0f\u7684\u57fa\u4e8eWeb\u7684\u754c\u9762\u3002<\/p>\n<h3>3.5 \u6700\u7ec8\u62fc\u56fe\uff1aPython\u811a\u672c<\/h3>\n<p>\u5728\u6700\u540e\u4e00\u6b65\u4e2d\uff0c\u8ba9\u6211\u4eec\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684Python\u811a\u672c\uff0c\u7ed3\u5408\u6240\u6709\u8d44\u6e90\u5e76\u8c03\u7528\u51fd\u6570\u3002\u518d\u6b21\u6253\u5f00\u4f60\u7684\u4ee3\u7801\u7f16\u8f91\u5668\u5e76\u7c98\u8d34\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/p>\n<pre><code>import gradio as gr  \nimport requests  \nimport ollama  \ndef search_web(query: str) -&gt; list:  \n    SEARXNG_URL = \"http:\/\/localhost:4000\/search\"  \n    params = {'q': query, 'format': 'json'}  \n    headers = {  \n        \"User-Agent\": \"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/115.0.0.0 Safari\/537.36\"  \n    }  \n    response = requests.get(SEARXNG_URL, params=params, headers=headers)  \n    if response.status_code != 200:  \n        print(\"Response status code:\", response.status_code)  \n        print(\"Response text:\", response.text)  \n        raise Exception(f\"Search query failed with status code {response.status_code}\")  \n    return response.json().get(\"results\", [])  \ndef chat_with_search(query: str, use_web_search: bool):  \n    # Optionally integrate web search based on user toggle  \n    if use_web_search:  \n        results = search_web(query)  \n        context_str = format_search_results(results, max_results=5)  \n    else:  \n        context_str = \"No additional context provided.\"  \nreturn generate_augmented_response(query, context_str)  \ndef format_search_results(results: list, max_results: int = 5) -&gt; str:  \n    \"\"\"  \n    Format the top search results into a context string.  \n    \"\"\"  \n    formatted = []  \n    for result in results[:max_results]:  \n        title = result.get(\"title\", \"No title\")  \n        url = result.get(\"url\", \"No URL\")  \n        snippet = result.get(\"content\", \"No snippet\")  \n        formatted.append(f\"Title: {title}\\nURL: {url}\\nSnippet: {snippet}\")  \n    return \"\\n\\n\".join(formatted)  \ndef generate_augmented_response(query: str, context: str) -&gt; str:  \n    \"\"\"  \n    Combine the user's query with the search context and send it to DeepSeek R1 via Ollama.  \n    \"\"\"  \n    # Create a composite prompt  \n    composite_prompt = f\"\"\"  \n{context}  \nPlease use the following web search results to provide the detailed summary of the request above.  \n{query}  \nAnswer:\"\"\"  \n    response = ollama.chat(  \n        model=\"deepseek-r1:14b\",  \n        messages=[  \n            {\"role\": \"user\", \"content\": composite_prompt}  \n        ]  \n    )  \n    return response[\"message\"][\"content\"]  \niface = gr.Interface(  \n    fn=chat_with_search,  \n    inputs=[  \n        gr.Textbox(label=\"Your Query\"),  \n        gr.Checkbox(label=\"Enable Web Search\", value=True)  \n    ],  \n    outputs=\"text\",  \n    title=\"DeepSeek R1 with Web Search\",  \n    description=\"Ask questions and get answers augmented with real-time web search results.\"  \n)  \niface.launch()\n<\/code><\/pre>\n<p>\u5c06\u6b64\u6587\u4ef6\u4fdd\u5b58\u4e3a\u201c\u201d\u3002<\/p>\n<p>\u73b0\u5728\u4f60\u4e0d\u5fc5\u7406\u89e3\u811a\u672c\u7684\u5177\u4f53\u5185\u5bb9\uff0c\u53ea\u9700\u8981\u77e5\u9053\u8fd9\u4e2aPython\u811a\u672c\u5bfc\u5165\u4e86\u8fd0\u884c\u6b64\u804a\u5929\u673a\u5668\u4eba\u6240\u9700\u7684\u5168\u90e8\u8d44\u6e90\u5e76\u6267\u884c\u5b83\u4eec\u3002<\/p>\n<p>\u8ba9\u6211\u4eec\u5728\u7ec8\u7aef\u4e2d\u8fd0\u884c\u5b83\uff1a<\/p>\n<pre><code>python deepseek.py\n<\/code><\/pre>\n<p>\u60a8\u5e94\u8be5\u4f1a\u770b\u5230\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/p>\n<pre><code>* Running on local URL:  http:\/\/127.0.0.1:7860\n<\/code><\/pre>\n<pre><code>To create a public link, set `share=True` in `launch()`.\n<\/code><\/pre>\n<p>\u73b0\u5728\u53ef\u4ee5\u5c06\u8f93\u5165\u5230\u6d4f\u89c8\u5668\u4e2d\uff1a<\/p>\n<p>  \u5177\u6709\u7b80\u5355UI\u7684\u804a\u5929\u673a\u5668\u4eba\uff0c\u4e3a\u60a8\u63d0\u4f9b\u641c\u7d22\u7f51\u7edc\u7684\u529f\u80fd <\/p>\n<p>\u606d\u559c\uff01\u4f60\u73b0\u5728\u6709\u4e86\u4e00\u4e2a\u672c\u5730\u804a\u5929\u673a\u5668\u4eba\uff0c\u4e0d\u518d\u5b8c\u5168\u4f9d\u8d56DeepSeek\u5e94\u7528\u7a0b\u5e8f\u3002<\/p>\n<p>\u4f60\u53ef\u4ee5\u5c1d\u8bd5\u8f93\u5165\u4e00\u4e9b\u63d0\u793a\u5e76\u4e0e\u804a\u5929\u673a\u5668\u4eba\u4e92\u52a8\uff0c\u770b\u770b\u5b83\u7684\u8868\u73b0\u5982\u4f55\u3002Gradio\u63d0\u4f9b\u4e86\u4e00\u4e2a\u201c\u6807\u8bb0\u201d\u6309\u94ae\uff0c\u4e00\u4e2a\u7b80\u5355\u7684UI\u529f\u80fd\uff0c\u5141\u8bb8\u4f60\u5c06\u54cd\u5e94\u548c\u804a\u5929\u8bb0\u5f55\u4fdd\u5b58\u5230\u9879\u76ee\u5de5\u4f5c\u76ee\u5f55\u4e2d\u7684CSV\u6587\u4ef6\u4e2d\uff08\u8bd5\u8bd5\u770b\uff01\uff09\u3002<\/p>\n<h2>4\u3001\u7ed3\u675f\u8bed<\/h2>\n<p>\u8fd9\u53ea\u662f\u8bbe\u7f6e\u4e00\u4e2a\u529f\u80fd\u9f50\u5168\u7684\u672c\u5730\u804a\u5929\u673a\u5668\u4eba\u7684\u4e00\u4e2a\u7b80\u5355\u793a\u4f8b\u3002\u8fd8\u6709\u5f88\u591a\u4f18\u5316\u53ef\u4ee5\u505a\uff0c\u6bd4\u5982\u6539\u8fdb\u54cd\u5e94\u683c\u5f0f\u3001\u4f7f\u7528\u66f4\u597d\u7684\u84b8\u998f\u6a21\u578b\uff08\u66f4\u591a\u53c2\u6570\uff09\u3001\u6539\u8fdbUI\u3001\u5411\u6a21\u578b\u63d0\u4f9b\u53cd\u9988\u4ee5\u53ca\u4fdd\u7559\u4e0a\u4e0b\u6587\u5386\u53f2\u3002\u5f53\u4f60\u5728\u7f16\u7a0b\u65b9\u9762\u66f4\u52a0\u719f\u7ec3\u65f6\uff0c\u53ef\u80fd\u8fd8\u60f3\u91cd\u6784\u548c\u7ec4\u7ec7\u4ee3\u7801\u6210\u4e3a\u4e00\u4e2a\u5408\u9002\u7684\u8f6f\u4ef6\u9879\u76ee\u3002<\/p>\n<hr>\n","protected":false},"excerpt":{"rendered":"<p>\u672c\u6587\u6700\u521d\u53d1\u5e03\u5728\u6211\u7684Substack\u901a\u8baf\u4e2d\uff1a\u201c\u3002\u201d \u90a3\u4e2a\u901a\u8baf\u662f\u4e3a\u90a3\u4e9b\u6280\u672f\u80cc\u666f\u4e0d\u5982\u6211\u7684Medium\u8bfb\u8005\u7684\u8bfb\u8005\u51c6\u5907\u7684\u3002\u56e0\u6b64\uff0c\u5982\u679c\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86\u8fd9\u4e9b\u5de5\u5177\uff0c\u53ef\u4ee5\u8df3\u8fc7\u8bbe\u7f6e\u90e8\u5206\u3002 \u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u5c06\u63d0\u4f9b\u4e00\u4e2a\u5feb\u901f\u6982\u8ff0\uff0c\u8bf4\u660e\u5982\u4f55\u4f7f\u7528\u5f00\u6e90\u7684DeepSeek R1\u6a21\u578b\u5728\u672c\u5730\u642d\u5efa\u4e00\u4e2a\u80fd\u591f\u8fdb\u884c\u7f51\u7edc\u641c\u7d22\u7684\u804a\u5929\u673a\u5668\u4eba\u3002 \u8fd9\u5c06\u662f\u4e00\u9879\u76f8\u5f53\u6280\u672f\u6027\u7684\u4efb\u52a1\uff0c\u6211\u5728\u8003\u8651\u65f6\u611f\u5230\u5f88\u56f0\u96be\uff0c\u56e0\u4e3a\u901a\u8baf\u5b9a\u4f4d\u4e3a\u4ee5\u975e\u6280\u672f\u6027\u7684\u65b9\u5f0f\u89e3\u91ca\u6280\u672f\u5185\u5bb9\uff0c\u4f46\u4e3a\u4e86\u5e2e\u52a9\u90a3\u4e9b\u60f3\u5f00\u59cbAI\u4e4b\u65c5\u7684\u4eba\u4eec\uff0c\u6211\u8fd8\u662f\u51b3\u5b9a\u5199\u8fd9\u7bc7\u6587\u7ae0\u3002 \u6211\u5c3d\u529b\u4ee5\u975e\u6280\u672f\u6027\u7684\u65b9\u5f0f\u89e3\u91ca\uff08\u56e0\u4e3a\u6211\u4eec\u662f\u534a\u4e13\u5bb6\uff0c\u5bf9\u5427\uff1f\uff09\uff0c\u4f46\u5982\u679c\u60a8\u4ecd\u7136\u6709\u4efb\u4f55\u95ee\u9898\uff0c\u8bf7\u5728Substack\u4e0a\u7ed9\u6211\u53d1\u79c1\u4fe1\uff08\u7279\u522b\u662f\u5982\u679c\u60a8\u4f7f\u7528\u7684\u662fWindows\uff1b\u6211\u662f\u7528Mac\u5b8c\u6210\u8fd9\u4e2a\u8bbe\u7f6e\u7684\uff09\u3002 1\u3001\u671f\u671b \u6309\u7167\u8fd9\u4e2a\u5feb\u901f\u6307\u5357\u64cd\u4f5c\u540e\uff0c\u4f60\u53ef\u4ee5\u5728\u7b14\u8bb0\u672c\u7535\u8111\u6216\u53f0\u5f0f\u673a\u4e0a\u542f\u52a8\u4e00\u4e2a\u7b80\u5316\u7684\u804a\u5929\u673a\u5668\u4eba\uff0c\u5982\u4e0b\u6240\u793a\uff1a \u4e00\u4e2a\u7531DeepSeek R1\u9a71\u52a8\u7684\u57fa\u672c\u804a\u5929\u673a\u5668\u4eba\uff0c\u80fd\u591f\u6267\u884c\u7f51\u7edc\u641c\u7d22 \uff08\u8f93\u51fa\u683c\u5f0f\u53ef\u4ee5\u66f4\u7f8e\u89c2\u4e00\u4e9b\uff0c\u4f46\u7a0d\u540e\u518d\u505a\u3002\u6211\u5f3a\u8feb\u81ea\u5df1\u4eca\u5929\u53d1\u5e03\u8fd9\u7bc7\u6587\u7ae0\uff09 \u6211\u4eec\u5c06\u901a\u8fc7\u57fa\u672c\u8bbe\u7f6e\u548c\u5206\u6b65\u6307\u5357\u6765\u542f\u52a8\u60a8\u7684AI\u5b66\u4e60\u4e4b\u65c5\u3002 2\u3001\u4e3a\u4ec0\u4e48\u5728\u672c\u5730\u8fd0\u884c\uff1f \u6211\u4e0d\u80fd\u4f7f\u7528DeepSeek\u5e94\u7528\u7a0b\u5e8f\/\u7f51\u9875\u7248\u672c\u5417\uff1f \u5f53\u7136\u53ef\u4ee5\u3002 \u968f\u7740DeepSeek AI\u52a9\u624b\u8d8a\u6765\u8d8a\u53d7\u6b22\u8fce\uff0c\u6211\u770b\u5230\u8fd9\u79cd\u60c5\u51b5\u7684\u9891\u7387\u8d8a\u6765\u8d8a\u9ad8\uff1a \u6211\u53ef\u4ee5\u60f3\u8c61\u5b83\u6709\u591a\u5fd9\u3002 \u2026\u2026\u800c\u4e14\u8fd9\u79cd\u60c5\u51b5\u53ef\u80fd\u4f1a\u6301\u7eed\u4e00\u6bb5\u65f6\u95f4\u3002 \u6b64\u5916\uff0c\u4eba\u4eec\u53ef\u80fd\u5bf9\u4f7f\u7528\u8fd9\u4e9b\u516c\u53f8\u7684AI\u52a9\u624b\u670d\u52a1\u6709\u9690\u79c1\u987e\u8651\u3002 \u5982\u679c\u4ec5\u5728\u4f60\u7684\u8ba1\u7b97\u673a\u4e0a\u8fd0\u884c\uff0c\u5219\u4e0d\u4f1a\u6709\u8fd9\u79cd\u62c5\u5fe7\u3002 \u6700\u540e\uff0c\u5982\u679c\u4f60\u60f3\u5b66\u4e60AI\uff0c\u8fd9\u4e5f\u662f\u719f\u6089\u4e00\u4e9b\u5f00\u53d1\u5de5\u5177\u7684\u597d\u65b9\u6cd5\u3002 3\u3001\u8bbe\u7f6e\u8d44\u6e90 \u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u4ee5\u4e0b\u5185\u5bb9\uff1a \u4f60\u7684\u672c\u5730\u547d\u4ee4\u7ec8\u7aef\uff08\u53ea\u9700\u5728Mac\u4e0a\u8fdb\u5165\u201c\u7ec8\u7aef\u201d\uff0c\u5728Windows\u4e0a\u8fdb\u5165\u201c\u547d\u4ee4\u63d0\u793a\u7b26\u201d\uff09 Python Docker Desktop \u4ee3\u7801\u7f16\u8f91\u5668 3.1 \u5b89\u88c5Ollama Ollama\u5141\u8bb8\u4f60\u5728\u672c\u5730\u8fd0\u884c\u548c\u7ba1\u7406\u5927\u578b\u8bed\u8a00\u6a21\u578b\u3002 \u9996\u5148\uff0c\u6211\u4eec\u4ece\u7f51\u7ad9\u4e0b\u8f7dOllama\uff1a Ollama\u4e0b\u8f7d\u9875\u9762 \u6839\u636e\u4f60\u7684\u64cd\u4f5c\u7cfb\u7edf\u9009\u62e9\u76f8\u5e94\u7684\u5305\u3002 \u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6253\u5f00\u4f60\u7684\u7ec8\u7aef\u3002 3.2 \u5b89\u88c5DeepSeek R1\u6a21\u578b \u5728\u7ec8\u7aef\u4e2d\u952e\u5165\u4ee5\u4e0b\u5185\u5bb9\uff1a ollama run deepseek-r1:14b \u8bf7\u6ce8\u610f\uff0c\u8fd9\u5c06\u5360\u7528\u5927\u7ea69GB\u7684\u78c1\u76d8\u7a7a\u95f4\u3002 DeepSeek R1\u8fd8\u63d0\u4f9b\u4e86\u5176\u4ed6\u8f83\u5c0f\u7684\u84b8\u998f\u6a21\u578b\u53ef\u4f9b\u4e0b\u8f7d\u3002\u4f46\u662f\uff0c\u6211\u4f7f\u7528\u53c2\u6570\u5c0f\u4e8e140\u4ebf\u7684\u6a21\u578b\u65f6\u9047\u5230\u4e86\u4e0d\u597d\u7684\u4f53\u9a8c\u3002 \u8fd0\u884c\u4e0a\u8ff0\u547d\u4ee4\u540e\uff0c\u4f60\u5e94\u8be5\u4f1a\u770b\u5230\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u7ec8\u7aef\uff0c\u8ba9\u4f60\u8f93\u5165\u63d0\u793a\uff1a (base) dylanoh@Dylans-MacBook-Pro search % ollama run deepseek-r1:14b pulling 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