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nodejs-whisper

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nodejs-whisper - npm Package Compare versions

Comparing version 0.0.3 to 0.0.4

1

dist/index.js

@@ -27,3 +27,2 @@ "use strict";

const command = (0, WhisperHelper_1.constructCommand)(outputFilePath, options);
// console.log(`[Nodejs-whisper] Executing command: ${command}\n`)
const transcript = yield (0, whisper_1.executeCppCommand)(command);

@@ -30,0 +29,0 @@ return transcript;

2

package.json
{
"name": "nodejs-whisper",
"version": "0.0.3",
"version": "0.0.4",
"description": "Node bindings for OpenAI's Whisper. Optimized for CPU.",

@@ -5,0 +5,0 @@ "main": "dist/index.js",

# nodejs-whisper
Node.js bindings for OpenAI's Whisper model.
[![MIT License](https://img.shields.io/badge/License-MIT-green.svg)](https://choosealicense.com/licenses/mit/)
## Features
- Automatically convert the audio to WAV format with a 16000 Hz frequency to support the whisper model.
- Output transcripts to (.txt .srt .vtt)
- Optimized for CPU (Including Apple Silicon ARM)
- Timestamp precision to single word
- Split on word rather than on token (Optional)
- Translate from source language to english (Optional)
- Convert audio formet to wav to support whisper model
## Installation
1. Install nodejs-whisper with npm
```bash
npm i nodejs-whisper
```
2. Download whisper model
```bash
npx nodejs-whisper download
```
## Usage/Examples
```javascript
import path from 'path'
import { nodewhisper } from "nodejs-whisper"
// Need to provide exact path to your audio file.
const filePath = path.resolve(__dirname, 'YourAudioFileName')
await nodewhisper(filePath, {
modelName: 'base.en', //Downloaded models name
whisperOptions: {
outputInText: false, // get output result in txt file
outputInVtt: false, // get output result in vtt file
outputInSrt: true, // get output result in srt file
outputInCsv: false, // get output result in csv file
translateToEnglish: false,//translate from source language to english
wordTimestamps: false, // Word-level timestamps
timestamps_length: 20, // amount of dialogue per timestamp pair
splitOnWord: true, //split on word rather than on token
},
})
// Model list
const MODELS_LIST = [
'tiny',
'tiny.en',
'base',
'base.en',
'small',
'small.en',
'medium',
'medium.en',
'large-v1',
'large',
]
```
## Types
```
interface IOptions {
modelName: string
whisperOptions?: WhisperOptions
}
interface WhisperOptions {
outputInText?: boolean
outputInVtt?: boolean
outputInSrt?: boolean
outputInCsv?: boolean
translateToEnglish?: boolean
timestamps_length?: number
wordTimestamps?: boolean
splitOnWord?: boolean
}
```
## Run Locally
Clone the project
```bash
git clone https://github.com/ChetanXpro/nodejs-whisper
```
Go to the project directory
```bash
cd nodejs-whisper
```
Install dependencies
```bash
npm install
```
Start the server
```bash
npm run dev
```
Build Project
```bash
npm run build
```
## Made with
- [Whisper OpenAI (using C++ port by: ggerganov)](https://github.com/ggerganov/whisper.cpp)
## Feedback
If you have any feedback, please reach out to us at chetanbaliyan10@gmail.com
## Authors
- [@chetanXpro](https://www.github.com/chetanXpro)

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