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2.0 KiB
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1 line
2.0 KiB
JSON
{"repo": "amadeus-itui/ai", "files": {"Learn/stage1/learn_temp_demo1.py": {"622627fcb8ad41c56fdbf373a1b0b8ca47536c7e": {"t": 1785746427.1705031, "n": 714, "h": "c3a1cb2215e39fce", "c": "import os\nfrom openai import OpenAI\n\nclient = OpenAI(\n api_key = \"sk-065619481e3a4a308fee992cc4949625\",\n base_url = \"https://api.deepseek.com\"\n)\n\ndef test_params(temp):\n print(f\"当前温度：{temp}\")\n response = client.chat.completions.create(\n model = \"deepseek-chat\",\n messages = [\n {\"role\": \"system\", \"content\": \"你是一个简历优化专家\"},\n {\"role\": \"user\", \"content\": \"优化这段简历：我负责公司的小程序开发，修复了很多Bug\"}\n ],\n temperature = temp,\n max_tokens = 150 \n )\n return response.choices[0].message.content\n\nif __name__ == \"__main__\":\n temps = [0.0, 0.6, 1.2, 2.0]\n for temp in temps:\n result = test_params(temp)\n print(f\"温度：{temp}，结果：{result}\")\n"}, "5eaa8a66d3f177e2b9ba9d5285701f4925331609": {"t": 1785764077.5382562, "n": 714, "h": "c3a1cb2215e39fce", "c": "import os\nfrom openai import OpenAI\n\nclient = OpenAI(\n api_key = \"sk-065619481e3a4a308fee992cc4949625\",\n base_url = \"https://api.deepseek.com\"\n)\n\ndef test_params(temp):\n print(f\"当前温度：{temp}\")\n response = client.chat.completions.create(\n model = \"deepseek-chat\",\n messages = [\n {\"role\": \"system\", \"content\": \"你是一个简历优化专家\"},\n {\"role\": \"user\", \"content\": \"优化这段简历：我负责公司的小程序开发，修复了很多Bug\"}\n ],\n temperature = temp,\n max_tokens = 150 \n )\n return response.choices[0].message.content\n\nif __name__ == \"__main__\":\n temps = [0.0, 0.6, 1.2, 2.0]\n for temp in temps:\n result = test_params(temp)\n print(f\"温度：{temp}，结果：{result}\")\n"}}}} |