Skip to main content

Chenyme-AAVT

AI Auto Video(Audio) Translation

Thank you very much for visiting my AI Auto Video-Audio Translation project! This project aims to provide an easy-to-use, fully automatic video translation tool to help you quickly recognize voices and translate subtitles, then merge the translated subtitles with the original video, allowing you to achieve video translation more efficiently.

It is recommended to use the Faster-whisper and Large models to obtain the best sentence segmentation and recognition experience.

Attention: Before enabling GPU acceleration, you need to download CUDA and PyTorch, and ensure that the PyTorch version matches CUDA. Otherwise, if the program identification fails, GPU acceleration will be disabled by default.

Using python

AAVT is a Python library designed to simplify video processing and content generation tasks.

Installation

pip install AAVT


# if CPU
pip install torch torchvision torchaudio


# !!! if GPU
# please intall cuda and pytorch
# Note that you need a version of CUDA 12 or higher. 
# And install a version of PyTorch that corresponds with your CUDA version.

# !!! if you are using CUDA 11, you will need to downgrade ctranslate2.
pip install --force-reinstall ctranslate2==3.24

Documents

AAVT

Metadata

Release files for AAVT 0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for AAVT 0.2
File Size Uploaded Provenance Actions
AAVT-0.2.tar.gz 11.8 kB Without provenance Details for AAVT-0.2.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for AAVT 0.2
File Interpreter ABI Platform Actions
AAVT-0.2-py3-none-any.whl Python 3 none any Details for AAVT-0.2-py3-none-any.whl

Total release size: 24.5 kB

Release files / AAVT-0.2.tar.gz

Download URL AAVT-0.2.tar.gz
Size 11.8 kB
Tags Source
SHA-256 checksum
How to use checksums
882c52fa5c6ef2cbc482d93da464d22f3108edf9cce95985f23b9799c7963757
BLAKE2b-256 checksum
How to use checksums
e5d162d169f3d6427cef6d686118d7b2d3ac94d846d067f3024bb02bf52cf32e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.0 CPython/3.9.6

Release files / AAVT-0.2-py3-none-any.whl

Download URL AAVT-0.2-py3-none-any.whl
Size 12.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7cec47a52f6783d5843fc327d8879ee08c867cd8fd84cd23fa7cb86479ae1043
BLAKE2b-256 checksum
How to use checksums
3deb92dc586692c6f4e931488b9d00f0abb854485f9402ac307b85e972b1b9fa
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.0 CPython/3.9.6

Security for AAVT 0.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.2 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page