KV-Tube v3.0

A lightweight, privacy-focused YouTube frontend web application with AI-powered features.

KV-Tube removes distractions, tracking, and ads from the YouTube watching experience. It provides a clean interface to search, watch, and discover related content without needing a Google account.

🚀 Key Features (v3)

Privacy First: No tracking, no ads.
Clean Interface: Distraction-free watching experience.
Efficient Streaming: Direct video stream extraction using yt-dlp.
AI Summary (Experimental): Generate concise summaries of videos (Currently disabled due to upstream rate limits).
Multi-Language: Support for English and Vietnamese (UI & Content).
Auto-Update: Includes update_deps.py to easily keep core fetching tools up-to-date.

🛠️ Architecture Data Flow

graph TD
    User[User Browser]
    Server[KV-Tube Server (Flask)]
    YTDLP[yt-dlp Core]
    YTFetcher[YTFetcher Lib]
    YouTube[YouTube V3 API / HTML]

    User -- "1. Search / Watch Request" --> Server
    Server -- "2. Extract Video Metadata" --> YTDLP
    YTDLP -- "3. Network Requests (Cookies Optional)" --> YouTube
    YouTube -- "4. Raw Video/Audio Streams" --> YTDLP
    YTDLP -- "5. Stream URL / Metadata" --> Server
    
    subgraph Transcript System [Transcript System (Deferred)]
        Server -.-> YTFetcher
        YTFetcher -.-> YouTube
        YTFetcher -- "No Transcript (429)" -.-> Server
    end

    Server -- "6. Render HTML / Stream Proxy" --> User

🔧 Installation & Usage

Prerequisites

Python 3.10+
Git
Valid cookies.txt (Optional, for bypassing age-restrictions or rate limits)

Local Setup

Clone the repository:

git clone https://git.khoavo.myds.me/vndangkhoa/kv-tube.git
cd kv-tube

Install dependencies:
```
pip install -r requirements.txt
```
Run the application:
```
python wsgi.py
```
Access at http://localhost:5002

Docker Deployment (Linux/AMD64)

Built for stability and ease of use.

docker pull vndangkhoa/kv-tube:latest
docker run -d -p 5002:5002 -v $(pwd)/cookies.txt:/app/cookies.txt vndangkhoa/kv-tube:latest

📦 Updates

v3.0: Major release.
- Full modularization of backend routes.
- Integrated ytfetcher for specialized fetching.
- Added manual dependency update script (update_deps.py).
- Enhanced error handling for upstream rate limits.
- Docker linux/amd64 support verified.

Developed by Khoa Vo

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