Huanshere / Huanshere/VideoLingo
完全使用本地大模型测试通过 请大家鉴定翻译质量
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- Dominant language
- Python
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Description
平台:ubuntu 24.04 2080TI 22G * 4 2680 v4 128G
用本地模型跑了个视频教程
使用videolingo平台完全使用本地大模型跑出来的videolingo+whisperX+ollama(qwen2.5b:32b)+GPT-sovite没花一分钱。
###【为什么要在今天选择FastAPI Why You Should Learn FastAPI Today】
完全用平台跑出来的,没有手动干预
###【怎样用Python建立 RESTful : How to build modern RESTful APIs with Python】
下载1080平台提示格式不支持,但是下载的.mkv文件是正常的,然后用360p文件跑出来,用mkvtoolnix进行组装
下载1080平台提示格式不支持,但是下载的.mkv文件是正常的,然后用360p文件跑出来,用mkvtoolnix进行组装
【怎么让Fastapi连接数据库 Python FastAPI Tutorial: How to Connect FastAPI to Database】 https://www.bilibili.com/video/BV1mX1aYdEQX/?share_source=copy_web&vd_source=d18a1b9b1a29f564f229a4ed747cfd34
上传用的mkv是有字幕的,b站转格式把字幕丢了
完全用平台跑出来的,没有手动干预,下载1080没有提示格式不支持。
【fastapi与mongodb 的连接 Unlocking the Power of NoSQL_ FastAPI with MongoDB0】 https://www.bilibili.com/video/BV1yf1uYWEmY/?share_source=copy_web&vd_source=d18a1b9b1a29f564f229a4ed747cfd34
qwen2:7b跑不通
喜大普奔啊,我把整个专集的32个视频教程全部跑了一遍,大家可以品鉴尝试了。
自认为效果非常好,这种有判断优化的机制太棒了,比其它的机械翻译工具强的不是一星半点。
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
This is a user report rather than a defined change, with linked videos demonstrating local-model translation and dubbing. Review the reported 1080p MKV format issue, missing subtitles, and qwen2:7b failure, then identify a reproducible problem or a specific translation-quality change. Done should be defined as a confirmed fix with corresponding verification.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- fastapi, mongodb, ollama, python
- Domain
- audio-video-rtc, localization, machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100