{"text": "大家好,今天5.6更新了,高好给大家录一个我自己用GPT制作学术汇报PPT的一个非常好用的技巧以这篇文章为例,就是如何直接把这篇文章给我们制作成这样一个比较好看一点的有数据图比较符合我们学术审美风格的图文并茂的一个学术PPT而不是这样的一个PPT,比如说如果直接通过GPT5.6去生成一个PPT的话它大概会生成这样的一个,这个PPT就比较朴素了这个应该也是很多同学反馈的一个问题,就是GPT给我们输出的PPT文件实在是太简单所以这期视频给大家介绍一下我们用到的一个GPT5.6三步法的一个方法技巧来借助GPTImageR去生成一个PPT,然后再用最新的5.6去进行一个还原第一步的话是大家结合自己的一个主题,粘贴一下这一段指令然后我们把对应的这篇文献以及比较美观的一个参考风格的一个PPT图片我们一起为给这个GPT模型这个指令的话有两个点需要注意第一个点就是强调它要用我们最新的GPTImageR模型去生成这样的一个图像的一个预览图第二个点就是大家可以让这个GPT来生成一个四套PPT的一个搜尼的一个预览图这样的话就有助于大家后面再去结合这样一个排版去选择一个最终确定风格的一个PPT文件比如说我让它在这里生成了这四套模板然后我选择的是这一套模板然后选择这一套模板让它继续生成一个PPT文件好这里有一个点需要大家注意一下比如说我们在进行连续对话聊天的时候一定要记得一个很关键的点就是我们时刻要强调一下让它用这个最新的ImageR模型去生成这样的一个图像如果我直接让它生成第三套风格大家可以看到这个就是它生成的一个非常简单的PPT也就是这个文件所以大家一定要记住我们这个很关键的一点就是要让它在生成PPT文件的时候要用这个GPTImageR这个专门用来生图的模型去生成一些图像文件这个也就是我们PPT生成的第二个步骤就是选择确认风格之后让它要用这个ImageR生成图片然后生成完毕之后大家可以看到这个就是我们生成的一个非常美观的一个PPT文件到就是这个文件跟我们这篇文件对应的这个标题背景分辨以及也就是背景啊材料内容还有这个数据结果它都写的非常的这个详细充实并且完全符合我们这个原文的一个专用度有一个缺点就是这个PPT它因为它是用这个图像生成的所以它其实不能够编辑那么这个时候呢给大家介绍一下如何转变成这样一个可以编辑的PPT文件的格上首先第一种就是用这个WPS这个是PDF的文件那我们可以直接用WPS给它PS给它转为这个PPT基本上所有的一些元素都可以编辑了用WPS转化的优点就是会快一点但是那实际上呢转化之后的那个效果呢其实没有我们用这个GPT5.5模型你去逐步输出一个可编辑PPT文件效果更好一点所以给大家介绍一下这个第三步啊就是欢迎为这个可编辑的一个PPT文件我们可以来试一下啊甄贴一下这一段指令然后我们比如说复制一下这个指令然后把刚刚在这个页面宣传的这个PPT文件再复制过来然后等待5.5输出这个结果就可以大家可以顺带看一下我们这个指令稍微有点点长我是建议大家逐步去输出还原比如说让它先把这个PPT的第一页还成这样一个完整的一个PPT文件然后再去还原第二页最后呢再去还原这个第三页一定要让它一步一步的去还原大约等个四五分钟输出完毕之后我们把这个第一页的PPT语言文件给它下载下来就是这个分泌页大家可以看到所有的一些元素啊包括文本框以及这样的图像都是可以单独去后期拖拉和这个编辑执行完这一步的操作之后呢我们就只需要重复执行就OK了比如说让它把第二页还有这个第三页也都重复执行这个操作这个第二页它还原之后我们也可以看到跟我们这个图像的PPT文件基本上可以达到99%的一个还原度吧还原之后呢我们就可以把这两个PPT啊给它进行一个组装就可以得到最终版的一个全部可以编辑的一个全流程的一个学习汇报PPT当然呢也可以用这个Codex去做这样的一个PPT的还原其实整个大概的逻辑和这个提示词是一样的用Codex呢可能会稍微方便的因为它可以直接把你存到本地文件但是Codex实在是太慢了比如说还原一页PPT用了17分钟然后第二页用了20多分钟对比一下如果用GPT的外部网页端的话效果会快很多啊那么这期视频大概就是这样的一个过程大家感兴趣的话呢可以点赞三连一下可以自己去试一下啊请不吝点赞三连一下请不吝点赞三连一下请不吝点赞三连一下请不吝点赞三连一下请不吝点赞三连一下请不吝点赞三连一下请不吝点赞三连一下请不吝点赞三连一下请不吝点赞三连一下请不吝点赞三连一下请不吝点赞三连一下请不吝点赞三连一下请不吝点赞三连一下请不吝点赞三连一下", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 7.76, "text": "大家好,今天5.6更新了,高好给大家录一个我自己用GPT制作学术汇报PPT的一个非常好用的技巧", "tokens": [50365, 15248, 11, 12074, 20, 13, 21, 19002, 12560, 2289, 11, 12979, 2131, 23197, 6868, 7391, 243, 20182, 1654, 17645, 9254, 38, 47, 51, 25491, 11914, 29618, 1474, 107, 12800, 229, 49817, 17755, 51, 1546, 20182, 14392, 2131, 9254, 1546, 32502, 43605, 50753], "temperature": 0, "avg_logprob": -0.08394165296812316, "compression_ratio": 1.3865248226950355, "no_speech_prob": 2.0695934549452843e-11}, {"id": 1, "seek": 0, "start": 7.76, "end": 14.68, "text": "以这篇文章为例,就是如何直接把这篇文章给我们制作成这样一个比较好看一点的", "tokens": [50753, 3588, 5562, 20878, 229, 17174, 11957, 254, 13992, 17797, 11, 5620, 43526, 43297, 16075, 5562, 20878, 229, 17174, 11957, 254, 23197, 15003, 25491, 11914, 11336, 21209, 20182, 11706, 9830, 225, 2131, 4200, 49042, 1546, 51099], "temperature": 0, "avg_logprob": -0.08394165296812316, "compression_ratio": 1.3865248226950355, "no_speech_prob": 2.0695934549452843e-11}, {"id": 2, "seek": 0, "start": 14.68, "end": 19.66, "text": "有数据图比较符合我们学术审美风格的图文并茂的一个学术PPT", "tokens": [51099, 2412, 33188, 26075, 106, 3919, 122, 11706, 9830, 225, 5437, 99, 14245, 15003, 29618, 1474, 107, 2415, 94, 9175, 47209, 30921, 1546, 3919, 122, 17174, 3509, 114, 27395, 224, 1546, 20182, 29618, 1474, 107, 17755, 51, 51348], "temperature": 0, "avg_logprob": -0.08394165296812316, "compression_ratio": 1.3865248226950355, "no_speech_prob": 2.0695934549452843e-11}, {"id": 3, "seek": 0, "start": 19.66, "end": 26.18, "text": "而不是这样的一个PPT,比如说如果直接通过GPT5.6去生成一个PPT的话", "tokens": [51348, 11070, 7296, 21209, 1546, 20182, 17755, 51, 11, 36757, 8090, 13119, 43297, 19550, 16866, 38, 47, 51, 20, 13, 21, 6734, 8244, 11336, 20182, 17755, 51, 44575, 51674], "temperature": 0, "avg_logprob": -0.08394165296812316, "compression_ratio": 1.3865248226950355, "no_speech_prob": 2.0695934549452843e-11}, {"id": 4, "seek": 2618, "start": 26.18, "end": 30.22, "text": "它大概会生成这样的一个,这个PPT就比较朴素了", "tokens": [50365, 11284, 32044, 12949, 8244, 11336, 21209, 1546, 20182, 11, 15368, 17755, 51, 3111, 11706, 9830, 225, 1474, 112, 37204, 2289, 50567], "temperature": 0, "avg_logprob": -0.09749052882973665, "compression_ratio": 1.325, "no_speech_prob": 7.41717624819227e-12}, {"id": 5, "seek": 2618, "start": 30.22, "end": 36.22, "text": "这个应该也是很多同学反馈的一个问题,就是GPT给我们输出的PPT文件实在是太简单", "tokens": [50567, 15368, 44297, 44646, 22021, 20778, 13089, 29618, 22138, 11748, 230, 1546, 20182, 34069, 11, 5620, 38, 47, 51, 23197, 15003, 9830, 241, 7781, 1546, 17755, 51, 17174, 20485, 24726, 3581, 1541, 9455, 11249, 222, 47446, 50867], "temperature": 0, "avg_logprob": -0.09749052882973665, "compression_ratio": 1.325, "no_speech_prob": 7.41717624819227e-12}, {"id": 6, "seek": 2618, "start": 36.22, "end": 42.480000000000004, "text": "所以这期视频给大家介绍一下我们用到的一个GPT5.6三步法的一个方法技巧", "tokens": [50867, 7239, 5562, 16786, 40656, 39752, 23197, 6868, 30312, 10115, 235, 8861, 15003, 9254, 4511, 1546, 20182, 38, 47, 51, 20, 13, 21, 10960, 31429, 11148, 1546, 20182, 9249, 11148, 32502, 43605, 51180], "temperature": 0, "avg_logprob": -0.09749052882973665, "compression_ratio": 1.325, "no_speech_prob": 7.41717624819227e-12}, {"id": 7, "seek": 2618, "start": 42.480000000000004, "end": 49.239999999999995, "text": "来借助GPTImageR去生成一个PPT,然后再用最新的5.6去进行一个还原", "tokens": [51180, 6912, 2122, 253, 37618, 38, 47, 51, 31128, 609, 49, 6734, 8244, 11336, 20182, 17755, 51, 11, 26636, 8623, 9254, 8661, 12560, 1546, 20, 13, 21, 6734, 36700, 8082, 20182, 14852, 19683, 51518], "temperature": 0, "avg_logprob": -0.09749052882973665, "compression_ratio": 1.325, "no_speech_prob": 7.41717624819227e-12}, {"id": 8, "seek": 2618, "start": 49.239999999999995, "end": 54.019999999999996, "text": "第一步的话是大家结合自己的一个主题,粘贴一下这一段指令", "tokens": [51518, 18049, 31429, 44575, 1541, 6868, 45641, 14245, 17645, 1546, 20182, 13557, 30716, 11, 18393, 246, 18464, 112, 8861, 5562, 2257, 28427, 25922, 49061, 51757], "temperature": 0, "avg_logprob": -0.09749052882973665, "compression_ratio": 1.325, "no_speech_prob": 7.41717624819227e-12}, {"id": 9, "seek": 5402, "start": 54.02, "end": 60.18000000000001, "text": "然后我们把对应的这篇文献以及比较美观的一个参考风格的一个PPT图片", "tokens": [50365, 26636, 15003, 16075, 8713, 44297, 1546, 5562, 20878, 229, 17174, 25266, 106, 40282, 11706, 9830, 225, 9175, 42350, 1546, 20182, 2129, 224, 26504, 47209, 30921, 1546, 20182, 17755, 51, 3919, 122, 16668, 50673], "temperature": 0, "avg_logprob": -0.09726258686610631, "compression_ratio": 1.4482758620689655, "no_speech_prob": 1.322512498819206e-11}, {"id": 10, "seek": 5402, "start": 60.18000000000001, "end": 62.34, "text": "我们一起为给这个GPT模型", "tokens": [50673, 15003, 29567, 13992, 23197, 15368, 38, 47, 51, 41908, 39823, 50781], "temperature": 0, "avg_logprob": -0.09726258686610631, "compression_ratio": 1.4482758620689655, "no_speech_prob": 1.322512498819206e-11}, {"id": 11, "seek": 5402, "start": 62.34, "end": 64.78, "text": "这个指令的话有两个点需要注意", "tokens": [50781, 15368, 25922, 49061, 44575, 2412, 36257, 7549, 12579, 35748, 40794, 50903], "temperature": 0, "avg_logprob": -0.09726258686610631, "compression_ratio": 1.4482758620689655, "no_speech_prob": 1.322512498819206e-11}, {"id": 12, "seek": 5402, "start": 64.78, "end": 68.74000000000001, "text": "第一个点就是强调它要用我们最新的GPTImageR模型", "tokens": [50903, 18049, 7549, 12579, 5620, 5702, 118, 8897, 225, 11284, 4275, 9254, 15003, 8661, 12560, 1546, 38, 47, 51, 31128, 609, 49, 41908, 39823, 51101], "temperature": 0, "avg_logprob": -0.09726258686610631, "compression_ratio": 1.4482758620689655, "no_speech_prob": 1.322512498819206e-11}, {"id": 13, "seek": 5402, "start": 68.74000000000001, "end": 71.82000000000001, "text": "去生成这样的一个图像的一个预览图", "tokens": [51101, 6734, 8244, 11336, 21209, 1546, 20182, 3919, 122, 12760, 1546, 20182, 12501, 226, 6758, 230, 3919, 122, 51255], "temperature": 0, "avg_logprob": -0.09726258686610631, "compression_ratio": 1.4482758620689655, "no_speech_prob": 1.322512498819206e-11}, {"id": 14, "seek": 5402, "start": 71.82000000000001, "end": 77.96000000000001, "text": "第二个点就是大家可以让这个GPT来生成一个四套PPT的一个搜尼的一个预览图", "tokens": [51255, 19693, 7549, 12579, 5620, 6868, 6723, 33650, 15368, 38, 47, 51, 6912, 8244, 11336, 20182, 19425, 1881, 245, 17755, 51, 1546, 20182, 162, 14987, 1530, 120, 1546, 20182, 12501, 226, 6758, 230, 3919, 122, 51562], "temperature": 0, "avg_logprob": -0.09726258686610631, "compression_ratio": 1.4482758620689655, "no_speech_prob": 1.322512498819206e-11}, {"id": 15, "seek": 7796, "start": 77.96, "end": 82.28, "text": "这样的话就有助于大家后面再去结合这样一个排版", "tokens": [50365, 21209, 44575, 3111, 2412, 37618, 37732, 6868, 13547, 8833, 8623, 6734, 45641, 14245, 21209, 20182, 44647, 42096, 50581], "temperature": 0, "avg_logprob": -0.07115547266383629, "compression_ratio": 1.5517241379310345, "no_speech_prob": 1.3036734886062717e-11}, {"id": 16, "seek": 7796, "start": 82.28, "end": 85.36, "text": "去选择一个最终确定风格的一个PPT文件", "tokens": [50581, 6734, 2215, 231, 6852, 102, 20182, 8661, 10115, 230, 38114, 106, 12088, 47209, 30921, 1546, 20182, 17755, 51, 17174, 20485, 50735], "temperature": 0, "avg_logprob": -0.07115547266383629, "compression_ratio": 1.5517241379310345, "no_speech_prob": 1.3036734886062717e-11}, {"id": 17, "seek": 7796, "start": 85.36, "end": 89.44, "text": "比如说我让它在这里生成了这四套模板", "tokens": [50735, 36757, 8090, 1654, 33650, 11284, 3581, 35102, 8244, 11336, 2289, 5562, 19425, 1881, 245, 41908, 43664, 50939], "temperature": 0, "avg_logprob": -0.07115547266383629, "compression_ratio": 1.5517241379310345, "no_speech_prob": 1.3036734886062717e-11}, {"id": 18, "seek": 7796, "start": 89.44, "end": 90.96, "text": "然后我选择的是这一套模板", "tokens": [50939, 26636, 1654, 2215, 231, 6852, 102, 24620, 5562, 2257, 1881, 245, 41908, 43664, 51015], "temperature": 0, "avg_logprob": -0.07115547266383629, "compression_ratio": 1.5517241379310345, "no_speech_prob": 1.3036734886062717e-11}, {"id": 19, "seek": 7796, "start": 90.96, "end": 92.32, "text": "然后选择这一套模板", "tokens": [51015, 26636, 2215, 231, 6852, 102, 5562, 2257, 1881, 245, 41908, 43664, 51083], "temperature": 0, "avg_logprob": -0.07115547266383629, "compression_ratio": 1.5517241379310345, "no_speech_prob": 1.3036734886062717e-11}, {"id": 20, "seek": 7796, "start": 92.32, "end": 94.08, "text": "让它继续生成一个PPT文件", "tokens": [51083, 33650, 11284, 10115, 100, 10115, 255, 8244, 11336, 20182, 17755, 51, 17174, 20485, 51171], "temperature": 0, "avg_logprob": -0.07115547266383629, "compression_ratio": 1.5517241379310345, "no_speech_prob": 1.3036734886062717e-11}, {"id": 21, "seek": 7796, "start": 94.08, "end": 96.19999999999999, "text": "好这里有一个点需要大家注意一下", "tokens": [51171, 2131, 35102, 2412, 20182, 12579, 35748, 6868, 40794, 8861, 51277], "temperature": 0, "avg_logprob": -0.07115547266383629, "compression_ratio": 1.5517241379310345, "no_speech_prob": 1.3036734886062717e-11}, {"id": 22, "seek": 7796, "start": 96.19999999999999, "end": 98.52, "text": "比如说我们在进行连续对话聊天的时候", "tokens": [51277, 36757, 8090, 15003, 3581, 36700, 8082, 3316, 252, 10115, 255, 8713, 21596, 40096, 6135, 49873, 51393], "temperature": 0, "avg_logprob": -0.07115547266383629, "compression_ratio": 1.5517241379310345, "no_speech_prob": 1.3036734886062717e-11}, {"id": 23, "seek": 7796, "start": 98.52, "end": 102.96, "text": "一定要记得一个很关键的点就是我们时刻要强调一下", "tokens": [51393, 48161, 34756, 5916, 20182, 4563, 28053, 23049, 106, 1546, 12579, 5620, 15003, 15729, 45500, 4275, 5702, 118, 8897, 225, 8861, 51615], "temperature": 0, "avg_logprob": -0.07115547266383629, "compression_ratio": 1.5517241379310345, "no_speech_prob": 1.3036734886062717e-11}, {"id": 24, "seek": 7796, "start": 102.96, "end": 107.22, "text": "让它用这个最新的ImageR模型去生成这样的一个图像", "tokens": [51615, 33650, 11284, 9254, 15368, 8661, 12560, 1546, 31128, 609, 49, 41908, 39823, 6734, 8244, 11336, 21209, 1546, 20182, 3919, 122, 12760, 51828], "temperature": 0, "avg_logprob": -0.07115547266383629, "compression_ratio": 1.5517241379310345, "no_speech_prob": 1.3036734886062717e-11}, {"id": 25, "seek": 10722, "start": 107.22, "end": 110.1, "text": "如果我直接让它生成第三套风格", "tokens": [50365, 13119, 1654, 43297, 33650, 11284, 8244, 11336, 35878, 1881, 245, 47209, 30921, 50509], "temperature": 0, "avg_logprob": -0.07669326994154188, "compression_ratio": 1.5308219178082192, "no_speech_prob": 1.2691227409267203e-11}, {"id": 26, "seek": 10722, "start": 110.1, "end": 113.78, "text": "大家可以看到这个就是它生成的一个非常简单的PPT", "tokens": [50509, 6868, 6723, 18032, 15368, 5620, 11284, 8244, 11336, 1546, 20182, 14392, 11249, 222, 47446, 1546, 17755, 51, 50693], "temperature": 0, "avg_logprob": -0.07669326994154188, "compression_ratio": 1.5308219178082192, "no_speech_prob": 1.2691227409267203e-11}, {"id": 27, "seek": 10722, "start": 113.78, "end": 115.53999999999999, "text": "也就是这个文件", "tokens": [50693, 6404, 5620, 15368, 17174, 20485, 50781], "temperature": 0, "avg_logprob": -0.07669326994154188, "compression_ratio": 1.5308219178082192, "no_speech_prob": 1.2691227409267203e-11}, {"id": 28, "seek": 10722, "start": 115.53999999999999, "end": 118.62, "text": "所以大家一定要记住我们这个很关键的一点", "tokens": [50781, 7239, 6868, 48161, 34756, 21632, 15003, 15368, 4563, 28053, 23049, 106, 1546, 49042, 50935], "temperature": 0, "avg_logprob": -0.07669326994154188, "compression_ratio": 1.5308219178082192, "no_speech_prob": 1.2691227409267203e-11}, {"id": 29, "seek": 10722, "start": 118.62, "end": 122.12, "text": "就是要让它在生成PPT文件的时候", "tokens": [50935, 5620, 4275, 33650, 11284, 3581, 8244, 11336, 17755, 51, 17174, 20485, 49873, 51110], "temperature": 0, "avg_logprob": -0.07669326994154188, "compression_ratio": 1.5308219178082192, "no_speech_prob": 1.2691227409267203e-11}, {"id": 30, "seek": 10722, "start": 122.12, "end": 125.24, "text": "要用这个GPTImageR这个专门用来生图的模型", "tokens": [51110, 4275, 9254, 15368, 38, 47, 51, 31128, 609, 49, 15368, 940, 241, 8259, 101, 9254, 6912, 8244, 3919, 122, 1546, 41908, 39823, 51266], "temperature": 0, "avg_logprob": -0.07669326994154188, "compression_ratio": 1.5308219178082192, "no_speech_prob": 1.2691227409267203e-11}, {"id": 31, "seek": 10722, "start": 125.24, "end": 126.9, "text": "去生成一些图像文件", "tokens": [51266, 6734, 8244, 11336, 38515, 3919, 122, 12760, 17174, 20485, 51349], "temperature": 0, "avg_logprob": -0.07669326994154188, "compression_ratio": 1.5308219178082192, "no_speech_prob": 1.2691227409267203e-11}, {"id": 32, "seek": 10722, "start": 126.9, "end": 129.78, "text": "这个也就是我们PPT生成的第二个步骤", "tokens": [51349, 15368, 6404, 5620, 15003, 17755, 51, 8244, 11336, 1546, 19693, 7549, 31429, 49657, 97, 51493], "temperature": 0, "avg_logprob": -0.07669326994154188, "compression_ratio": 1.5308219178082192, "no_speech_prob": 1.2691227409267203e-11}, {"id": 33, "seek": 10722, "start": 129.78, "end": 131.74, "text": "就是选择确认风格之后", "tokens": [51493, 5620, 2215, 231, 6852, 102, 38114, 106, 7422, 97, 47209, 30921, 9574, 13547, 51591], "temperature": 0, "avg_logprob": -0.07669326994154188, "compression_ratio": 1.5308219178082192, "no_speech_prob": 1.2691227409267203e-11}, {"id": 34, "seek": 10722, "start": 131.74, "end": 134.88, "text": "让它要用这个ImageR生成图片", "tokens": [51591, 33650, 11284, 4275, 9254, 15368, 31128, 609, 49, 8244, 11336, 3919, 122, 16668, 51748], "temperature": 0, "avg_logprob": -0.07669326994154188, "compression_ratio": 1.5308219178082192, "no_speech_prob": 1.2691227409267203e-11}, {"id": 35, "seek": 10722, "start": 134.88, "end": 136.1, "text": "然后生成完毕之后", "tokens": [51748, 26636, 8244, 11336, 14128, 7256, 243, 9574, 13547, 51809], "temperature": 0, "avg_logprob": -0.07669326994154188, "compression_ratio": 1.5308219178082192, "no_speech_prob": 1.2691227409267203e-11}, {"id": 36, "seek": 13610, "start": 136.1, "end": 140.66, "text": "大家可以看到这个就是我们生成的一个非常美观的一个PPT文件", "tokens": [50365, 6868, 6723, 18032, 15368, 5620, 15003, 8244, 11336, 1546, 20182, 14392, 9175, 42350, 1546, 20182, 17755, 51, 17174, 20485, 50593], "temperature": 0, "avg_logprob": -0.16896684002724421, "compression_ratio": 1.5202702702702702, "no_speech_prob": 1.512987131413457e-11}, {"id": 37, "seek": 13610, "start": 140.66, "end": 145.22, "text": "到就是这个文件跟我们这篇文件对应的这个标题背景分辨", "tokens": [50593, 4511, 5620, 15368, 17174, 20485, 9678, 15003, 5562, 20878, 229, 17174, 20485, 8713, 44297, 1546, 15368, 162, 3921, 30716, 46329, 50218, 6627, 9830, 101, 50821], "temperature": 0, "avg_logprob": -0.16896684002724421, "compression_ratio": 1.5202702702702702, "no_speech_prob": 1.512987131413457e-11}, {"id": 38, "seek": 13610, "start": 145.22, "end": 146.66, "text": "以及也就是背景啊", "tokens": [50821, 40282, 6404, 5620, 46329, 50218, 4905, 50893], "temperature": 0, "avg_logprob": -0.16896684002724421, "compression_ratio": 1.5202702702702702, "no_speech_prob": 1.512987131413457e-11}, {"id": 39, "seek": 13610, "start": 146.66, "end": 147.29999999999998, "text": "材料内容", "tokens": [50893, 4422, 238, 33404, 34742, 25750, 50925], "temperature": 0, "avg_logprob": -0.16896684002724421, "compression_ratio": 1.5202702702702702, "no_speech_prob": 1.512987131413457e-11}, {"id": 40, "seek": 13610, "start": 147.29999999999998, "end": 148.5, "text": "还有这个数据结果", "tokens": [50925, 35091, 15368, 33188, 26075, 106, 45641, 9319, 50985], "temperature": 0, "avg_logprob": -0.16896684002724421, "compression_ratio": 1.5202702702702702, "no_speech_prob": 1.512987131413457e-11}, {"id": 41, "seek": 13610, "start": 148.5, "end": 150.98, "text": "它都写的非常的这个详细充实", "tokens": [50985, 11284, 7182, 5676, 247, 1546, 48263, 15368, 5233, 99, 10115, 228, 2347, 227, 24726, 51109], "temperature": 0, "avg_logprob": -0.16896684002724421, "compression_ratio": 1.5202702702702702, "no_speech_prob": 1.512987131413457e-11}, {"id": 42, "seek": 13610, "start": 150.98, "end": 153.78, "text": "并且完全符合我们这个原文的一个专用度", "tokens": [51109, 3509, 114, 20334, 37100, 5437, 99, 14245, 15003, 15368, 19683, 17174, 1546, 20182, 940, 241, 9254, 13127, 51249], "temperature": 0, "avg_logprob": -0.16896684002724421, "compression_ratio": 1.5202702702702702, "no_speech_prob": 1.512987131413457e-11}, {"id": 43, "seek": 13610, "start": 153.78, "end": 156.42, "text": "有一个缺点就是这个PPT", "tokens": [51249, 2412, 20182, 38109, 118, 12579, 5620, 15368, 17755, 51, 51381], "temperature": 0, "avg_logprob": -0.16896684002724421, "compression_ratio": 1.5202702702702702, "no_speech_prob": 1.512987131413457e-11}, {"id": 44, "seek": 13610, "start": 156.42, "end": 158.01999999999998, "text": "它因为它是用这个图像生成的", "tokens": [51381, 11284, 34627, 11284, 1541, 9254, 15368, 3919, 122, 12760, 8244, 11336, 1546, 51461], "temperature": 0, "avg_logprob": -0.16896684002724421, "compression_ratio": 1.5202702702702702, "no_speech_prob": 1.512987131413457e-11}, {"id": 45, "seek": 13610, "start": 158.01999999999998, "end": 159.85999999999999, "text": "所以它其实不能够编辑", "tokens": [51461, 7239, 11284, 41646, 28590, 1787, 253, 38109, 244, 9830, 239, 51553], "temperature": 0, "avg_logprob": -0.16896684002724421, "compression_ratio": 1.5202702702702702, "no_speech_prob": 1.512987131413457e-11}, {"id": 46, "seek": 13610, "start": 159.85999999999999, "end": 161.94, "text": "那么这个时候呢给大家介绍一下", "tokens": [51553, 35693, 15368, 29111, 6240, 23197, 6868, 30312, 10115, 235, 8861, 51657], "temperature": 0, "avg_logprob": -0.16896684002724421, "compression_ratio": 1.5202702702702702, "no_speech_prob": 1.512987131413457e-11}, {"id": 47, "seek": 16194, "start": 161.94, "end": 164.5, "text": "如何转变成这样一个可以编辑的PPT文件的格上", "tokens": [50365, 43526, 17819, 105, 2129, 246, 11336, 21209, 20182, 6723, 38109, 244, 9830, 239, 1546, 17755, 51, 17174, 20485, 1546, 30921, 5708, 50493], "temperature": 0, "avg_logprob": -0.13777330186631945, "compression_ratio": 1.3218884120171674, "no_speech_prob": 1.5776104381193257e-11}, {"id": 48, "seek": 16194, "start": 164.5, "end": 166.5, "text": "首先第一种就是用这个WPS", "tokens": [50493, 36490, 18049, 39810, 5620, 9254, 15368, 54, 6273, 50593], "temperature": 0, "avg_logprob": -0.13777330186631945, "compression_ratio": 1.3218884120171674, "no_speech_prob": 1.5776104381193257e-11}, {"id": 49, "seek": 16194, "start": 166.5, "end": 168.5, "text": "这个是PDF的文件", "tokens": [50593, 15368, 1541, 17349, 37, 1546, 17174, 20485, 50693], "temperature": 0, "avg_logprob": -0.13777330186631945, "compression_ratio": 1.3218884120171674, "no_speech_prob": 1.5776104381193257e-11}, {"id": 50, "seek": 16194, "start": 168.5, "end": 171.06, "text": "那我们可以直接用WPS给它", "tokens": [50693, 4184, 15003, 6723, 43297, 9254, 54, 6273, 23197, 11284, 50821], "temperature": 0, "avg_logprob": -0.13777330186631945, "compression_ratio": 1.3218884120171674, "no_speech_prob": 1.5776104381193257e-11}, {"id": 51, "seek": 16194, "start": 171.06, "end": 172.82, "text": "PS给它转为这个PPT", "tokens": [50821, 6273, 23197, 11284, 17819, 105, 13992, 15368, 17755, 51, 50909], "temperature": 0, "avg_logprob": -0.13777330186631945, "compression_ratio": 1.3218884120171674, "no_speech_prob": 1.5776104381193257e-11}, {"id": 52, "seek": 16194, "start": 172.82, "end": 174.82, "text": "基本上所有的一些元素都可以编辑了", "tokens": [50909, 37946, 5708, 39300, 1546, 38515, 14812, 37204, 7182, 6723, 38109, 244, 9830, 239, 2289, 51009], "temperature": 0, "avg_logprob": -0.13777330186631945, "compression_ratio": 1.3218884120171674, "no_speech_prob": 1.5776104381193257e-11}, {"id": 53, "seek": 16194, "start": 174.82, "end": 178.02, "text": "用WPS转化的优点就是会快一点", "tokens": [51009, 9254, 54, 6273, 17819, 105, 23756, 1546, 7384, 246, 12579, 5620, 12949, 10251, 49042, 51169], "temperature": 0, "avg_logprob": -0.13777330186631945, "compression_ratio": 1.3218884120171674, "no_speech_prob": 1.5776104381193257e-11}, {"id": 54, "seek": 16194, "start": 178.02, "end": 180.5, "text": "但是那实际上呢转化之后的那个效果呢", "tokens": [51169, 11189, 4184, 24726, 8842, 227, 5708, 6240, 17819, 105, 23756, 9574, 13547, 1546, 43083, 43076, 9319, 6240, 51293], "temperature": 0, "avg_logprob": -0.13777330186631945, "compression_ratio": 1.3218884120171674, "no_speech_prob": 1.5776104381193257e-11}, {"id": 55, "seek": 18050, "start": 180.5, "end": 183.06, "text": "其实没有我们用这个GPT5.5模型", "tokens": [50365, 41646, 17944, 15003, 9254, 15368, 38, 47, 51, 20, 13, 20, 41908, 39823, 50493], "temperature": 0, "avg_logprob": -0.20868532018723832, "compression_ratio": 1.4725274725274726, "no_speech_prob": 1.4510019921698536e-11}, {"id": 56, "seek": 18050, "start": 183.06, "end": 185.3, "text": "你去逐步输出一个可编辑PPT文件", "tokens": [50493, 2166, 6734, 2215, 238, 31429, 9830, 241, 7781, 20182, 4429, 38109, 244, 9830, 239, 17755, 51, 17174, 20485, 50605], "temperature": 0, "avg_logprob": -0.20868532018723832, "compression_ratio": 1.4725274725274726, "no_speech_prob": 1.4510019921698536e-11}, {"id": 57, "seek": 18050, "start": 185.3, "end": 186.34, "text": "效果更好一点", "tokens": [50605, 43076, 9319, 19002, 2131, 49042, 50657], "temperature": 0, "avg_logprob": -0.20868532018723832, "compression_ratio": 1.4725274725274726, "no_speech_prob": 1.4510019921698536e-11}, {"id": 58, "seek": 18050, "start": 186.34, "end": 188.26, "text": "所以给大家介绍一下这个第三步啊", "tokens": [50657, 7239, 23197, 6868, 30312, 10115, 235, 8861, 15368, 35878, 31429, 4905, 50753], "temperature": 0, "avg_logprob": -0.20868532018723832, "compression_ratio": 1.4725274725274726, "no_speech_prob": 1.4510019921698536e-11}, {"id": 59, "seek": 18050, "start": 188.26, "end": 190.74, "text": "就是欢迎为这个可编辑的一个PPT文件", "tokens": [50753, 5620, 28566, 17699, 13992, 15368, 4429, 38109, 244, 9830, 239, 1546, 20182, 17755, 51, 17174, 20485, 50877], "temperature": 0, "avg_logprob": -0.20868532018723832, "compression_ratio": 1.4725274725274726, "no_speech_prob": 1.4510019921698536e-11}, {"id": 60, "seek": 18050, "start": 190.74, "end": 193.14, "text": "我们可以来试一下啊", "tokens": [50877, 15003, 6723, 6912, 5233, 243, 8861, 4905, 50997], "temperature": 0, "avg_logprob": -0.20868532018723832, "compression_ratio": 1.4725274725274726, "no_speech_prob": 1.4510019921698536e-11}, {"id": 61, "seek": 18050, "start": 193.14, "end": 195.94, "text": "甄贴一下这一段指令", "tokens": [50997, 3526, 226, 18464, 112, 8861, 5562, 2257, 28427, 25922, 49061, 51137], "temperature": 0, "avg_logprob": -0.20868532018723832, "compression_ratio": 1.4725274725274726, "no_speech_prob": 1.4510019921698536e-11}, {"id": 62, "seek": 18050, "start": 195.94, "end": 199.86, "text": "然后我们比如说复制一下这个指令", "tokens": [51137, 26636, 15003, 36757, 8090, 1787, 235, 25491, 8861, 15368, 25922, 49061, 51333], "temperature": 0, "avg_logprob": -0.20868532018723832, "compression_ratio": 1.4725274725274726, "no_speech_prob": 1.4510019921698536e-11}, {"id": 63, "seek": 18050, "start": 199.86, "end": 202.26, "text": "然后把刚刚在这个页面", "tokens": [51333, 26636, 16075, 49160, 49160, 3581, 15368, 10178, 113, 8833, 51453], "temperature": 0, "avg_logprob": -0.20868532018723832, "compression_ratio": 1.4725274725274726, "no_speech_prob": 1.4510019921698536e-11}, {"id": 64, "seek": 18050, "start": 202.26, "end": 204.66, "text": "宣传的这个PPT文件再复制过来", "tokens": [51453, 2415, 96, 7384, 254, 1546, 15368, 17755, 51, 17174, 20485, 8623, 1787, 235, 25491, 16866, 6912, 51573], "temperature": 0, "avg_logprob": -0.20868532018723832, "compression_ratio": 1.4725274725274726, "no_speech_prob": 1.4510019921698536e-11}, {"id": 65, "seek": 18050, "start": 204.66, "end": 209.06, "text": "然后等待5.5输出这个结果就可以", "tokens": [51573, 26636, 10187, 18390, 20, 13, 20, 9830, 241, 7781, 15368, 45641, 9319, 36781, 51793], "temperature": 0, "avg_logprob": -0.20868532018723832, "compression_ratio": 1.4725274725274726, "no_speech_prob": 1.4510019921698536e-11}, {"id": 66, "seek": 20906, "start": 209.06, "end": 210.98, "text": "大家可以顺带看一下我们这个指令", "tokens": [50365, 6868, 6723, 10178, 118, 4845, 99, 28324, 15003, 15368, 25922, 49061, 50461], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 67, "seek": 20906, "start": 210.98, "end": 212.1, "text": "稍微有点点长", "tokens": [50461, 10415, 235, 39152, 2412, 12579, 12579, 32271, 50517], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 68, "seek": 20906, "start": 212.1, "end": 214.42000000000002, "text": "我是建议大家逐步去输出还原", "tokens": [50517, 15914, 34157, 7422, 106, 6868, 2215, 238, 31429, 6734, 9830, 241, 7781, 14852, 19683, 50633], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 69, "seek": 20906, "start": 214.42000000000002, "end": 216.94, "text": "比如说让它先把这个PPT的第一页", "tokens": [50633, 36757, 8090, 33650, 11284, 10108, 16075, 15368, 17755, 51, 1546, 18049, 10178, 113, 50759], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 70, "seek": 20906, "start": 216.94, "end": 219.54, "text": "还成这样一个完整的一个PPT文件", "tokens": [50759, 14852, 11336, 21209, 20182, 14128, 27662, 1546, 20182, 17755, 51, 17174, 20485, 50889], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 71, "seek": 20906, "start": 219.54, "end": 220.62, "text": "然后再去还原第二页", "tokens": [50889, 26636, 8623, 6734, 14852, 19683, 19693, 10178, 113, 50943], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 72, "seek": 20906, "start": 220.62, "end": 222.1, "text": "最后呢再去还原这个第三页", "tokens": [50943, 8661, 13547, 6240, 8623, 6734, 14852, 19683, 15368, 35878, 10178, 113, 51017], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 73, "seek": 20906, "start": 222.1, "end": 223.62, "text": "一定要让它一步一步的去还原", "tokens": [51017, 48161, 33650, 11284, 2257, 31429, 2257, 31429, 1546, 6734, 14852, 19683, 51093], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 74, "seek": 20906, "start": 223.62, "end": 226.26, "text": "大约等个四五分钟输出完毕之后", "tokens": [51093, 3582, 16853, 99, 10187, 7549, 19425, 21001, 6627, 50064, 9830, 241, 7781, 14128, 7256, 243, 9574, 13547, 51225], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 75, "seek": 20906, "start": 226.26, "end": 228.02, "text": "我们把这个第一页的PPT语言文件", "tokens": [51225, 15003, 16075, 15368, 18049, 10178, 113, 1546, 17755, 51, 5233, 255, 12009, 17174, 20485, 51313], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 76, "seek": 20906, "start": 228.02, "end": 228.94, "text": "给它下载下来", "tokens": [51313, 23197, 11284, 4438, 17819, 121, 4438, 6912, 51359], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 77, "seek": 20906, "start": 228.94, "end": 230.82, "text": "就是这个分泌页", "tokens": [51359, 5620, 15368, 6627, 6847, 234, 10178, 113, 51453], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 78, "seek": 20906, "start": 230.82, "end": 232.58, "text": "大家可以看到所有的一些元素啊", "tokens": [51453, 6868, 6723, 18032, 39300, 1546, 38515, 14812, 37204, 4905, 51541], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 79, "seek": 20906, "start": 232.58, "end": 234.14000000000001, "text": "包括文本框以及这样的图像", "tokens": [51541, 41828, 17174, 8802, 21416, 228, 40282, 21209, 1546, 3919, 122, 12760, 51619], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 80, "seek": 20906, "start": 234.14000000000001, "end": 236.98000000000002, "text": "都是可以单独去后期拖拉和这个编辑", "tokens": [51619, 22796, 6723, 47446, 18637, 105, 6734, 13547, 16786, 6852, 244, 29717, 12565, 15368, 38109, 244, 9830, 239, 51761], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 81, "seek": 20906, "start": 236.98000000000002, "end": 238.98000000000002, "text": "执行完这一步的操作之后呢", "tokens": [51761, 3416, 100, 8082, 14128, 5562, 2257, 31429, 1546, 13167, 235, 11914, 9574, 13547, 6240, 51861], "temperature": 0, "avg_logprob": -0.09767760878883748, "compression_ratio": 1.5741758241758241, "no_speech_prob": 1.0960443490304339e-11}, {"id": 82, "seek": 23898, "start": 238.98, "end": 241.06, "text": "我们就只需要重复执行就OK了", "tokens": [50365, 15003, 3111, 14003, 35748, 12624, 1787, 235, 3416, 100, 8082, 3111, 9443, 2289, 50469], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 83, "seek": 23898, "start": 241.06, "end": 243.17999999999998, "text": "比如说让它把第二页", "tokens": [50469, 36757, 8090, 33650, 11284, 16075, 19693, 10178, 113, 50575], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 84, "seek": 23898, "start": 243.17999999999998, "end": 245.66, "text": "还有这个第三页也都重复执行这个操作", "tokens": [50575, 35091, 15368, 35878, 10178, 113, 6404, 7182, 12624, 1787, 235, 3416, 100, 8082, 15368, 13167, 235, 11914, 50699], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 85, "seek": 23898, "start": 245.66, "end": 247.48, "text": "这个第二页它还原之后", "tokens": [50699, 15368, 19693, 10178, 113, 11284, 14852, 19683, 9574, 13547, 50790], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 86, "seek": 23898, "start": 247.48, "end": 248.14, "text": "我们也可以看到", "tokens": [50790, 15003, 47935, 18032, 50823], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 87, "seek": 23898, "start": 248.14, "end": 250.28, "text": "跟我们这个图像的PPT文件", "tokens": [50823, 9678, 15003, 15368, 3919, 122, 12760, 1546, 17755, 51, 17174, 20485, 50930], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 88, "seek": 23898, "start": 250.28, "end": 253.73999999999998, "text": "基本上可以达到99%的一个还原度吧", "tokens": [50930, 37946, 5708, 6723, 9830, 122, 4511, 8494, 4, 1546, 20182, 14852, 19683, 13127, 6062, 51103], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 89, "seek": 23898, "start": 253.73999999999998, "end": 254.57999999999998, "text": "还原之后呢", "tokens": [51103, 14852, 19683, 9574, 13547, 6240, 51145], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 90, "seek": 23898, "start": 254.57999999999998, "end": 256.06, "text": "我们就可以把这两个PPT啊", "tokens": [51145, 15003, 36781, 16075, 5562, 36257, 7549, 17755, 51, 4905, 51219], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 91, "seek": 23898, "start": 256.06, "end": 257.58, "text": "给它进行一个组装", "tokens": [51219, 23197, 11284, 36700, 8082, 20182, 10115, 226, 8083, 227, 51295], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 92, "seek": 23898, "start": 257.58, "end": 259.28, "text": "就可以得到最终版的一个", "tokens": [51295, 36781, 5916, 4511, 8661, 10115, 230, 42096, 1546, 20182, 51380], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 93, "seek": 23898, "start": 259.28, "end": 260.74, "text": "全部可以编辑的一个", "tokens": [51380, 38714, 6723, 38109, 244, 9830, 239, 1546, 20182, 51453], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 94, "seek": 23898, "start": 260.74, "end": 263.12, "text": "全流程的一个学习汇报PPT", "tokens": [51453, 11319, 27854, 29649, 1546, 20182, 29618, 2930, 254, 12800, 229, 49817, 17755, 51, 51572], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 95, "seek": 23898, "start": 263.12, "end": 265.71999999999997, "text": "当然呢也可以用这个Codex去做", "tokens": [51572, 40486, 6240, 47935, 9254, 15368, 34, 1429, 87, 6734, 10907, 51702], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 96, "seek": 23898, "start": 265.71999999999997, "end": 267.53999999999996, "text": "这样的一个PPT的还原", "tokens": [51702, 21209, 1546, 20182, 17755, 51, 1546, 14852, 19683, 51793], "temperature": 0, "avg_logprob": -0.10815142513660903, "compression_ratio": 1.532258064516129, "no_speech_prob": 1.432507151094553e-11}, {"id": 97, "seek": 26754, "start": 267.54, "end": 271.02000000000004, "text": "其实整个大概的逻辑和这个提示词是一样的", "tokens": [50365, 41646, 27662, 7549, 32044, 1546, 2215, 119, 9830, 239, 12565, 15368, 20949, 25696, 5233, 235, 1541, 2257, 14496, 1546, 50539], "temperature": 0, "avg_logprob": -0.13553008725566248, "compression_ratio": 1.1776061776061777, "no_speech_prob": 1.3721906423624919e-11}, {"id": 98, "seek": 26754, "start": 271.02000000000004, "end": 272.14000000000004, "text": "用Codex呢", "tokens": [50539, 9254, 34, 1429, 87, 6240, 50595], "temperature": 0, "avg_logprob": -0.13553008725566248, "compression_ratio": 1.1776061776061777, "no_speech_prob": 1.3721906423624919e-11}, {"id": 99, "seek": 26754, "start": 272.14000000000004, "end": 273.86, "text": "可能会稍微方便的", "tokens": [50595, 16657, 12949, 10415, 235, 39152, 9249, 27364, 1546, 50681], "temperature": 0, "avg_logprob": -0.13553008725566248, "compression_ratio": 1.1776061776061777, "no_speech_prob": 1.3721906423624919e-11}, {"id": 100, "seek": 26754, "start": 273.86, "end": 275.42, "text": "因为它可以直接把你存到本地文件", "tokens": [50681, 34627, 11284, 6723, 43297, 16075, 2166, 39781, 4511, 8802, 10928, 17174, 20485, 50759], "temperature": 0, "avg_logprob": -0.13553008725566248, "compression_ratio": 1.1776061776061777, "no_speech_prob": 1.3721906423624919e-11}, {"id": 101, "seek": 26754, "start": 275.42, "end": 278.24, "text": "但是Codex实在是太慢了", "tokens": [50759, 11189, 34, 1429, 87, 24726, 3581, 1541, 9455, 20645, 2289, 50900], "temperature": 0, "avg_logprob": -0.13553008725566248, "compression_ratio": 1.1776061776061777, "no_speech_prob": 1.3721906423624919e-11}, {"id": 102, "seek": 26754, "start": 278.24, "end": 280.70000000000005, "text": "比如说还原一页PPT用了17分钟", "tokens": [50900, 36757, 8090, 14852, 19683, 2257, 10178, 113, 17755, 51, 9254, 2289, 7773, 6627, 50064, 51023], "temperature": 0, "avg_logprob": -0.13553008725566248, "compression_ratio": 1.1776061776061777, "no_speech_prob": 1.3721906423624919e-11}, {"id": 103, "seek": 26754, "start": 280.70000000000005, "end": 283.0, "text": "然后第二页用了20多分钟", "tokens": [51023, 26636, 19693, 10178, 113, 9254, 2289, 2009, 6392, 6627, 50064, 51138], "temperature": 0, "avg_logprob": -0.13553008725566248, "compression_ratio": 1.1776061776061777, "no_speech_prob": 1.3721906423624919e-11}, {"id": 104, "seek": 26754, "start": 283.0, "end": 283.86, "text": "对比一下", "tokens": [51138, 8713, 11706, 8861, 51181], "temperature": 0, "avg_logprob": -0.13553008725566248, "compression_ratio": 1.1776061776061777, "no_speech_prob": 1.3721906423624919e-11}, {"id": 105, "seek": 26754, "start": 283.86, "end": 285.74, "text": "如果用GPT的外部网页端的话", "tokens": [51181, 13119, 9254, 38, 47, 51, 1546, 12022, 13470, 16469, 239, 10178, 113, 11957, 107, 44575, 51275], "temperature": 0, "avg_logprob": -0.13553008725566248, "compression_ratio": 1.1776061776061777, "no_speech_prob": 1.3721906423624919e-11}, {"id": 106, "seek": 26754, "start": 285.74, "end": 287.22, "text": "效果会快很多啊", "tokens": [51275, 43076, 9319, 12949, 10251, 20778, 4905, 51349], "temperature": 0, "avg_logprob": -0.13553008725566248, "compression_ratio": 1.1776061776061777, "no_speech_prob": 1.3721906423624919e-11}, {"id": 107, "seek": 28722, "start": 287.22, "end": 291.44000000000005, "text": "那么这期视频大概就是这样的一个过程", "tokens": [50365, 35693, 5562, 16786, 40656, 39752, 32044, 5620, 21209, 1546, 20182, 16866, 29649, 50576], "temperature": 0, "avg_logprob": -0.18728577006946912, "compression_ratio": 1.0413223140495869, "no_speech_prob": 1.4333876099947851e-11}, {"id": 108, "seek": 28722, "start": 291.44000000000005, "end": 292.40000000000003, "text": "大家感兴趣的话呢", "tokens": [50576, 6868, 9709, 2347, 112, 39835, 44575, 6240, 50624], "temperature": 0, "avg_logprob": -0.18728577006946912, "compression_ratio": 1.0413223140495869, "no_speech_prob": 1.4333876099947851e-11}, {"id": 109, "seek": 28722, "start": 292.40000000000003, "end": 294.20000000000005, "text": "可以点赞三连一下", "tokens": [50624, 6723, 12579, 5266, 252, 10960, 3316, 252, 8861, 50714], "temperature": 0, "avg_logprob": -0.18728577006946912, "compression_ratio": 1.0413223140495869, "no_speech_prob": 1.4333876099947851e-11}, {"id": 110, "seek": 28722, "start": 294.20000000000005, "end": 295.34000000000003, "text": "可以自己去试一下啊", "tokens": [50714, 6723, 17645, 6734, 5233, 243, 8861, 4905, 50771], "temperature": 0, "avg_logprob": -0.18728577006946912, "compression_ratio": 1.0413223140495869, "no_speech_prob": 1.4333876099947851e-11}, {"id": 111, "seek": 29534, "start": 295.34, "end": 296.82, "text": "请不吝点赞三连一下", "tokens": [50365, 27908, 1960, 2392, 251, 12579, 5266, 252, 10960, 3316, 252, 8861, 50439], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10}, {"id": 112, "seek": 29534, "start": 296.82, "end": 297.82, "text": "请不吝点赞三连一下", "tokens": [50439, 27908, 1960, 2392, 251, 12579, 5266, 252, 10960, 3316, 252, 8861, 50489], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10}, {"id": 113, "seek": 29534, "start": 297.82, "end": 298.82, "text": "请不吝点赞三连一下", "tokens": [50489, 27908, 1960, 2392, 251, 12579, 5266, 252, 10960, 3316, 252, 8861, 50539], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10}, {"id": 114, "seek": 29534, "start": 298.82, "end": 299.94, "text": "请不吝点赞三连一下", "tokens": [50539, 27908, 1960, 2392, 251, 12579, 5266, 252, 10960, 3316, 252, 8861, 50595], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10}, {"id": 115, "seek": 29534, "start": 299.94, "end": 300.82, "text": "请不吝点赞三连一下", "tokens": [50595, 27908, 1960, 2392, 251, 12579, 5266, 252, 10960, 3316, 252, 8861, 50639], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10}, {"id": 116, "seek": 29534, "start": 300.82, "end": 301.41999999999996, "text": "请不吝点赞三连一下", "tokens": [50639, 27908, 1960, 2392, 251, 12579, 5266, 252, 10960, 3316, 252, 8861, 50669], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10}, {"id": 117, "seek": 29534, "start": 301.41999999999996, "end": 302.02, "text": "请不吝点赞三连一下", "tokens": [50669, 27908, 1960, 2392, 251, 12579, 5266, 252, 10960, 3316, 252, 8861, 50699], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10}, {"id": 118, "seek": 29534, "start": 302.02, "end": 302.88, "text": "请不吝点赞三连一下", "tokens": [50699, 27908, 1960, 2392, 251, 12579, 5266, 252, 10960, 3316, 252, 8861, 50742], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10}, {"id": 119, "seek": 29534, "start": 302.88, "end": 303.7, "text": "请不吝点赞三连一下", "tokens": [50742, 27908, 1960, 2392, 251, 12579, 5266, 252, 10960, 3316, 252, 8861, 50783], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10}, {"id": 120, "seek": 29534, "start": 303.7, "end": 304.82, "text": "请不吝点赞三连一下", "tokens": [50783, 27908, 1960, 2392, 251, 12579, 5266, 252, 10960, 3316, 252, 8861, 50839], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10}, {"id": 121, "seek": 29534, "start": 304.82, "end": 304.82, "text": "", "tokens": [], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10, "words": []}, {"id": 122, "seek": 29534, "start": 304.82, "end": 305.41999999999996, "text": "请不吝点赞三连一下", "tokens": [50839, 27908, 1960, 2392, 251, 12579, 5266, 252, 10960, 3316, 252, 8861, 50869], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10}, {"id": 123, "seek": 29534, "start": 305.41999999999996, "end": 306.02, "text": "请不吝点赞三连一下", "tokens": [50869, 27908, 1960, 2392, 251, 12579, 5266, 252, 10960, 3316, 252, 8861, 50899], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10}, {"id": 124, "seek": 29534, "start": 306.02, "end": 306.94, "text": "请不吝点赞三连一下", "tokens": [50899, 27908, 1960, 2392, 251, 12579, 5266, 252, 10960, 3316, 252, 8861, 50945], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10}, {"id": 125, "seek": 29534, "start": 306.94, "end": 307.82, "text": "请不吝点赞三连一下", "tokens": [50945, 27908, 1960, 2392, 251, 12579, 5266, 252, 10960, 3316, 252, 8861, 50989], "temperature": 0, "avg_logprob": -0.3355948356202411, "compression_ratio": 9.878048780487806, "no_speech_prob": 4.6277881526890496e-10}], "language": "zh"}