stream-translator-gpt

English | 简体中文

flowchart LR
    subgraph ga["`**Input**`"]
        direction LR
        aa("`**FFmpeg**`")
        ab("`**Device audio**`")
        ac("`**yt-dlp**`")
        ad("`**Local video file**`")
        ae("`**Live streaming**`")
        ac --> aa
        ad --> aa
        ae --> ac
    end
    subgraph gb["`**Audio Slicing**`"]
        direction LR
        ba("`**VAD**`")
    end
    subgraph gc["`**Transcription**`"]
        direction LR
        ca("`**Whisper**`")
        cb("`**Faster-Whisper**`")
        cc("`**Whisper API**`")
    end
    subgraph gd["`**Translation**`"]
        direction LR
        da("`**GPT API**`")
        db("`**Gemini API**`")
    end
    subgraph ge["`**Output**`"]
        direction LR
        ea("`**Print to stdout**`")
        eb("`**Cqhttp**`")
        ec("`**Discord**`")
        ed("`**Telegram**`")
        ee("`**Save to file**`")
    end
    aa --> gb
    ab --> gb
    gb ==> gc
    gc ==> gd
    gd ==> ge

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Command line utility to transcribe or translate audio from livestreams in real time. Uses yt-dlp to get livestream URLs from various services and Whisper / Faster-Whisper for transcription.

This fork optimized the audio slicing logic based on VAD, introduced GPT API / Gemini API to support language translation beyond English, and supports input from the audio devices.

Try it on Colab:

Prerequisites

Linux or Windows:

1. Python >= 3.8 (Recommend >= 3.10)
2. Install CUDA on your system..
3. Install cuDNN v8 to your CUDA dir if you want to use Faster-Whisper.
4. Install PyTorch (with CUDA) to your Python.
5. Create a Google API key if you want to use Gemini API for translation. (Free 15 requests / minute)
6. Create a OpenAI API key if you want to use Whisper API for transcription or GPT API for translation.

If you are in Windows, you also need to:

1. Install and add ffmpeg to your PATH.
2. Install yt-dlp and add it to your PATH.

Installation

Install release version from PyPI (Recommend):

pip install stream-translator-gpt -U
stream-translator-gpt

or

Clone master version code from Github:

git clone https://github.com/ionic-bond/stream-translator-gpt.git
pip install -r ./stream-translator-gpt/requirements.txt
python3 ./stream-translator-gpt/translator.py

Usage

• Transcribe live streaming (default use Whisper):

  stream-translator-gpt {URL} --model large --language {input_language}

• Transcribe by Faster Whisper:

  stream-translator-gpt {URL} --model large --language {input_language} --use_faster_whisper

• Transcribe by Whisper API:

  stream-translator-gpt {URL} --language {input_language} --use_whisper_api --openai_api_key {your_openai_key}

• Translate to other language by Gemini:

  stream-translator-gpt {URL} --model large --language ja --gpt_translation_prompt "Translate from Japanese to Chinese" --google_api_key {your_google_key}

• Translate to other language by GPT:

  stream-translator-gpt {URL} --model large --language ja --gpt_translation_prompt "Translate from Japanese to Chinese" --openai_api_key {your_openai_key}

• Using Whisper API and Gemini at the same time:

  stream-translator-gpt {URL} --model large --language ja --use_whisper_api --openai_api_key {your_openai_key} --gpt_translation_prompt "Translate from Japanese to Chinese" --google_api_key {your_google_key}

• Local video/audio file as input:

  stream-translator-gpt /path/to/file --model large --language {input_language}

• Computer microphone as input:

  stream-translator-gpt device --model large --language {input_language}

  Will use the system's default audio device as input.

  If you want to use another audio input device, stream-translator-gpt device --print_all_devices get device index and then run the CLI with --device_index {index}.

  If you want to use the audio output of another program as input, you need to enable stereo mix.

• Sending result to Cqhttp:

  stream-translator-gpt {URL} --model large --language {input_language} --cqhttp_url {your_cqhttp_url} --cqhttp_token {your_cqhttp_token}

• Sending result to Discord:

  stream-translator-gpt {URL} --model large --language {input_language} --discord_webhook_url {your_discord_webhook_url}

• Saving result to a .srt subtitle file:

  stream-translator-gpt {URL} --model large --language ja --gpt_translation_prompt "Translate from Japanese to Chinese" --google_api_key {your_google_key} --hide_transcribe_result --output_timestamps --output_file_path ./result.srt

All options

Option	Default Value	Description
Input Options
URL		The URL of the stream. If a local file path is filled in, it will be used as input. If fill in "device", the input will be obtained from your PC device.
--format	wa*	Stream format code, this parameter will be passed directly to yt-dlp.
--cookies		Used to open member-only stream, this parameter will be passed directly to yt-dlp.
--device_index		The index of the device that needs to be recorded. If not set, the system default recording device will be used.
Audio Slicing Options
--frame_duration	0.1	The unit that processes live streaming data in seconds, should be >= 0.03
--continuous_no_speech_threshold	0.5	Slice if there is no speech for a continuous period in second.
--min_audio_length	1.5	Minimum slice audio length in seconds.
--max_audio_length	15.0	Maximum slice audio length in seconds.
--prefix_retention_length	0.5	The length of the retention prefix audio during slicing.
--vad_threshold	0.35	The threshold of Voice activity detection. if the speech probability of a frame is higher than this value, then this frame is speech.
Transcription Options
--model	small	Select model size. See here for available models.
--language	auto	Language spoken in the stream. See here for available languages.
--beam_size	5	Number of beams in beam search. Set to 0 to use greedy algorithm instead (faster but less accurate).
--best_of	5	Number of candidates when sampling with non-zero temperature.
--use_faster_whisper		Set this flag to use Faster Whisper implementation instead of the original OpenAI implementation
--use_whisper_api		Set this flag to use OpenAI Whisper API instead of the original local Whipser.
--whisper_filters	emoji_filter	Filters apply to whisper results, separated by ",". We provide emoji_filter and japanese_stream_filter.
Translation Options
--openai_api_key		OpenAI API key if using GPT translation / Whisper API.
--google_api_key		Google API key if using Gemini translation.
--gpt_model	gpt-3.5-turbo	OpenAI's GPT model name, gpt-3.5-turbo / gpt-4 / gpt-4o.
--gemini_model	gemini-1.0-pro	Google's Gemini model name, gemini-1.0-pro / gemini-1.5-flash-latest / gemini-1.5-pro-latest
--gpt_translation_prompt		If set, will translate the result text to target language via GPT / Gemini API (According to which API key is filled in). Example: "Translate from Japanese to Chinese"
--gpt_translation_history_size	0	The number of previous messages sent when calling the GPT / Gemini API. If the history size is 0, the translation will be run parallelly. If the history size > 0, the translation will be run serially.
--gpt_translation_timeout	10	If the GPT / Gemini translation exceeds this number of seconds, the translation will be discarded.
--gpt_base_url		Customize the API endpoint of GPT.
--retry_if_translation_fails		Retry when translation times out/fails. Used to generate subtitles offline.
Output Options
--output_timestamps		Output the timestamp of the text when outputting the text.
--hide_transcribe_result		Hide the result of Whisper transcribe.
--output_file_path		If set, will save the result text to this path.
--cqhttp_url		If set, will send the result text to the cqhttp server.
--cqhttp_token		Token of cqhttp, if it is not set on the server side, it does not need to fill in.
--discord_webhook_url		If set, will send the result text to the discord channel.
--telegram_token		Token of Telegram bot.
--telegram_chat_id		If set, will send the result text to this Telegram chat. Needs to be used with "--telegram_token".

Contact me

Telegram: @ionic_bond

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