{"id":204939,"date":"2025-05-29T08:34:47","date_gmt":"2025-05-29T00:34:47","guid":{"rendered":"https:\/\/server.hk\/cnblog\/204939\/"},"modified":"2025-05-29T08:34:47","modified_gmt":"2025-05-29T00:34:47","slug":"%e5%b0%86-gemini-%e4%b8%8e-openai-%e5%ba%93%e7%bb%93%e5%90%88%e4%bd%bf%e7%94%a8","status":"publish","type":"post","link":"https:\/\/server.hk\/cnblog\/204939\/","title":{"rendered":"\u5c06 Gemini \u4e0e OpenAI \u5e93\u7ed3\u5408\u4f7f\u7528"},"content":{"rendered":"<p><b><\/b>     <\/p>\n<h1>\u5c06 Gemini \u4e0e OpenAI \u5e93\u7ed3\u5408\u4f7f\u7528<\/h1>\n<p>\u6587\u7ae0\u5c0f\u767d\u4e00\u679a\uff0c\u6b63\u5728\u4e0d\u65ad\u5b66\u4e60\u79ef\u7d2f\u77e5\u8bc6\uff0c\u73b0\u5c06\u5b66\u4e60\u5230\u7684\u77e5\u8bc6\u8bb0\u5f55\u4e00\u4e0b\uff0c\u4e5f\u662f\u5c06\u6211\u7684\u6240\u5f97\u5206\u4eab\u7ed9\u5927\u5bb6\uff01\u800c\u4eca\u5929\u8fd9\u7bc7\u6587\u7ae0\u300a\u5c06 Gemini \u4e0e OpenAI \u5e93\u7ed3\u5408\u4f7f\u7528\u300b\u5e26\u5927\u5bb6\u6765\u4e86\u89e3\u4e00\u4e0b##content_title##\uff0c\u5e0c\u671b\u5bf9\u5927\u5bb6\u7684\u77e5\u8bc6\u79ef\u7d2f\u6709\u6240\u5e2e\u52a9\uff0c\u4ece\u800c\u5f25\u8865\u81ea\u5df1\u7684\u4e0d\u8db3\uff0c\u52a9\u529b\u5b9e\u6218\u5f00\u53d1\uff01<\/p>\n<p><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.17golang.com\/uploads\/20241119\/1732021948673c8ebc0efe8.jpg\" class=\"aligncenter\"><\/p>\n<p>\u57fa\u4e8e\u8fd9\u7bc7\u6587\u7ae0\uff0c\u6211\u4eec\u73b0\u5728\u53ef\u4ee5\u5c06 gemini \u4e0e openai \u5e93\u4e00\u8d77\u4f7f\u7528\u3002\u6240\u4ee5\uff0c\u6211\u51b3\u5b9a\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\u5c1d\u8bd5\u4e00\u4e0b<\/p>\n<p>\u76ee\u524d\u4ec5\u63d0\u4f9b\u804a\u5929\u5b8c\u6210 api \u548c\u5d4c\u5165 api\u3002<\/p>\n<p>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u5c1d\u8bd5\u4f7f\u7528 python \u548c javascript\u3002<\/p>\n<p>\u9996\u5148\uff0c\u6211\u4eec\u6765\u642d\u5efa\u73af\u5883\u3002<\/p>\n<pre>pip install openai python-dotenv\n<\/pre>\n<p>\u63a5\u4e0b\u6765\uff0c\u8ba9\u6211\u4eec\u8fd0\u884c\u4ee5\u4e0b\u4ee3\u7801\u3002<\/p>\n<pre>import os\n\nfrom dotenv import load_dotenv\nfrom openai import openai\n\n\nload_dotenv()\ngoogle_api_key = os.getenv(\"google_api_key\")\n\nclient = openai(\n    api_key=google_api_key,\n    base_url=\"https:\/\/generativelanguage.googleapis.com\/v1beta\/\"\n)\n\n\nresponse = client.chat.completions.create(\n    model=\"gemini-1.5-flash\",\n    n=1,\n    messages=[\n        {\"role\": \"system\", \"content\": \"you are a helpful assistant.\"},\n        {\n            \"role\": \"user\",\n            \"content\": \"explain briefly(less than 30 words) to me how ai works.\"\n        }\n    ]\n)\n\nprint(response.choices[0].message.content)\n<\/pre>\n<p>\u8fd4\u56de\u4e86\u4ee5\u4e0b\u54cd\u5e94\u3002<\/p>\n<pre>ai mimics human intelligence by learning patterns from data, using algorithms to solve problems and make decisions. \n<\/pre>\n<p>\u5728\u5185\u5bb9\u5b57\u6bb5\u4e2d\uff0c\u60a8\u53ef\u4ee5\u6307\u5b9a\u5b57\u7b26\u4e32\u6216\u201c\u7c7b\u578b\u201d\uff1a\u201c\u6587\u672c\u201d\u3002<\/p>\n<pre>import os\n\nfrom dotenv import load_dotenv\nfrom openai import openai\n\n\nload_dotenv()\ngoogle_api_key = os.getenv(\"google_api_key\")\n\nclient = openai(\n    api_key=google_api_key,\n    base_url=\"https:\/\/generativelanguage.googleapis.com\/v1beta\/\"\n)\n\nresponse = client.chat.completions.create(\n    model=\"gemini-1.5-flash\",\n    n=1,\n    messages=[\n        {\"role\": \"system\", \"content\": \"you are a helpful assistant.\"},\n        {\n            \"role\": \"user\",\n            \"content\": [\n                {\n                    \"type\": \"text\",\n                    \"text\": \"explain briefly(less than 30 words) to me how ai works.\",\n                },\n            ]\n        }\n    ]\n)\n\nprint(response.choices[0].message.content)\n<\/pre>\n<p>\u4f46\u662f\uff0c\u56fe\u50cf\u548c\u97f3\u9891\u8f93\u5165\u51fa\u73b0\u9519\u8bef\u3002<\/p>\n<p>\u56fe\u50cf\u8f93\u5165\u793a\u4f8b\u4ee3\u7801<\/p>\n<pre>import os\n\nfrom dotenv import load_dotenv\nfrom openai import openai\n\n\nload_dotenv()\ngoogle_api_key = os.getenv(\"google_api_key\")\n\nclient = openai(\n    api_key=google_api_key,\n    base_url=\"https:\/\/generativelanguage.googleapis.com\/v1beta\/\"\n)\n\n# png to base64 text\nimport base64\nwith open(\"test.png\", \"rb\") as image:\n    b64str = base64.b64encode(image.read()).decode(\"utf-8\")\n\nresponse = client.chat.completions.create(\n    model=\"gemini-1.5-flash\",\n    # model=\"gpt-4o\",\n    n=1,\n    messages=[\n        {\"role\": \"system\", \"content\": \"you are a helpful assistant.\"},\n        {\n            \"role\": \"user\",\n            \"content\": [\n                {\n                    \"type\": \"text\",\n                    \"text\": \"describe the image in the image below.\",\n                },\n                {\n                    \"type\": \"image_url\",\n                    \"image_url\": {\n                        \"url\": f\"data:image\/png;base64,{b64str}\"\n                    }\n                }\n            ]\n        }\n    ]\n)\n\nprint(response.choices[0].message.content)\n<\/pre>\n<p>\u97f3\u9891\u8f93\u5165\u793a\u4f8b\u4ee3\u7801<\/p>\n<pre>import os\n\nfrom dotenv import load_dotenv\nfrom openai import openai\n\n\nload_dotenv()\ngoogle_api_key = os.getenv(\"google_api_key\")\n\nclient = openai(\n    api_key=google_api_key,\n    base_url=\"https:\/\/generativelanguage.googleapis.com\/v1beta\/\"\n)\n\n# png to base64 text\nimport base64\nwith open(\"test.wav\", \"rb\") as audio:\n    b64str = base64.b64encode(audio.read()).decode(\"utf-8\")\n\nresponse = client.chat.completions.create(\n    model=\"gemini-1.5-flash\",\n    # model=\"gpt-4o-audio-preview\", \n    n=1,\n    modalities=[\"text\"],\n    messages=[\n        {\"role\": \"system\", \"content\": \"you are a helpful assistant.\"},\n        {\n            \"role\": \"user\",\n            \"content\": [\n                {\n                    \"type\": \"text\",\n                    \"text\": \"what does he say?\",\n                },\n                {\n                    \"type\": \"input_audio\",\n                    \"input_audio\": {\n                        \"data\": b64str,\n                        \"format\": \"wav\",\n                    }\n                }\n            ]\n        }\n    ]\n)\n\nprint(response.choices[0].message.content)\n<\/pre>\n<p>\u8fd4\u56de\u4e86\u4ee5\u4e0b\u9519\u8bef\u54cd\u5e94\u3002<\/p>\n<pre>openai.badrequesterror: error code: 400 - [{'error': {'code': 400, 'message': 'request contains an invalid argument.', 'status': 'invalid_argument'}}]\n<\/pre>\n<p>\u76ee\u524d\u4ec5\u652f\u6301\u6587\u5b57\u8f93\u5165\uff0c\u4e0d\u8fc7\u540e\u7eed\u4f3c\u4e4e\u4f1a\u652f\u6301\u56fe\u7247\u548c\u97f3\u9891\u8f93\u5165\u3002<\/p>\n<p>\u8ba9\u6211\u4eec\u770b\u4e00\u4e0b javascript \u793a\u4f8b\u4ee3\u7801\u3002<\/p>\n<p>\u9996\u5148\uff0c\u6211\u4eec\u6765\u642d\u5efa\u73af\u5883\u3002<\/p>\n<pre>npm init -y\nnpm install openai\nnpm pkg set type=module\n<\/pre>\n<p>\u63a5\u4e0b\u6765\uff0c\u8ba9\u6211\u4eec\u8fd0\u884c\u4ee5\u4e0b\u4ee3\u7801\u3002<\/p>\n<pre>import openai from \"openai\";\n\nconst google_api_key = process.env.google_api_key;\nconst openai = new openai({\n    apikey: google_api_key,\n    baseurl: \"https:\/\/generativelanguage.googleapis.com\/v1beta\/\"\n});\n\nconst response = await openai.chat.completions.create({\n    model: \"gemini-1.5-flash\",\n    messages: [\n        { role: \"system\", content: \"you are a helpful assistant.\" },\n        {\n            role: \"user\",\n            content: \"explain briefly(less than 30 words) to me how ai works\",\n        },\n    ],\n});\n\nconsole.log(response.choices[0].message.content);\n<\/pre>\n<p>\u8fd0\u884c\u4ee3\u7801\u65f6\uff0c\u8bf7\u786e\u4fdd\u5728 .env \u6587\u4ef6\u4e2d\u5305\u542b api \u5bc6\u94a5\u3002 .env \u6587\u4ef6\u5c06\u5728\u8fd0\u884c\u65f6\u52a0\u8f7d\u3002<\/p>\n<pre>node --env-file=.env run.js\n<\/pre>\n<p>\u8fd4\u56de\u4e86\u4ee5\u4e0b\u54cd\u5e94\u3002<\/p>\n<pre>AI systems learn from data, identify patterns, and make predictions or decisions based on those patterns.\n<\/pre>\n<p>\u6211\u4eec\u53ef\u4ee5\u5728\u540c\u4e00\u4e2a\u5e93\u4e2d\u4f7f\u7528\u5176\u4ed6\u6a21\u578b\uff0c\u8fd9\u771f\u662f\u592a\u68d2\u4e86\u3002<\/p>\n<p> \u5c31\u6211\u4e2a\u4eba\u800c\u8a00\uff0c\u6211\u5bf9\u6b64\u611f\u5230\u5f88\u9ad8\u5174\uff0c\u56e0\u4e3a openai \u4f7f\u7f16\u8f91\u5bf9\u8bdd\u5386\u53f2\u8bb0\u5f55\u53d8\u5f97\u66f4\u52a0\u5bb9\u6613\u3002<\/p>\n<p>\u7ec8\u4e8e\u4ecb\u7ecd\u5b8c\u5566\uff01\u5c0f\u4f19\u4f34\u4eec\uff0c\u8fd9\u7bc7\u5173\u4e8e\u300a\u5c06 Gemini \u4e0e OpenAI \u5e93\u7ed3\u5408\u4f7f\u7528\u300b\u7684\u4ecb\u7ecd\u5e94\u8be5\u8ba9\u4f60\u6536\u83b7\u591a\u591a\u4e86\u5427\uff01\u6b22\u8fce\u5927\u5bb6\u6536\u85cf\u6216\u5206\u4eab\u7ed9\u66f4\u591a\u9700\u8981\u5b66\u4e60\u7684\u670b\u53cb\u5427~\u516c\u4f17\u53f7\u4e5f\u4f1a\u53d1\u5e03\u6587\u7ae0\u76f8\u5173\u77e5\u8bc6\uff0c\u5feb\u6765\u5173\u6ce8\u5427\uff01<\/p>\n<p>      \u7248\u672c\u58f0\u660e \u672c\u6587\u8f6c\u8f7d\u4e8e\uff1adev.to \u5982\u6709\u4fb5\u72af\uff0c\u8bf7\u8054\u7cfb\u5220\u9664<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5c06 Gemini \u4e0e OpenA&#46;&#46;&#46;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4925],"tags":[],"class_list":["post-204939","post","type-post","status-publish","format-standard","hentry","category-4925"],"_links":{"self":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/204939","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/comments?post=204939"}],"version-history":[{"count":0,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/204939\/revisions"}],"wp:attachment":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/media?parent=204939"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/categories?post=204939"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/tags?post=204939"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}