Whisperx API Wrapper

An API Wrapper for Whisperx Library

Overview

This is a FastAPI application that provides an endpoint for video/audio transcription using the whisperx command. The application supports multiple audio and video formats. It performs the transcription, alignment, and diarization of the uploaded media files.

Features

• User Authentication with JWT
• Support for multiple audio and video formats
• Diarization support
• Customizable language and model settings

Requirements

• whisperx
• Python 3.8+
• FastAPI
• ffmpeg
• SQLite
• pyjwt
• dotenv

Follow the instructions on how to install Whisperx in the official repository You can install these dependencies using the requirements.txt file:

pip install -r requirements.txt

Environment Variables

Create a .env file in your root directory and add the following variables:

SECRET_KEY=your_secret_key
MASTER_KEY=your_master_key
HUGGING_FACE_TOKEN=your_hugging_face_token
API_PORT=11300

Database Setup

SQLite is used for storing user information. The database is created automatically when the application runs.

Running the Application

Run the application using:

python api_whisperx.py

Replace main with the name of your Python file if it's not main.py.

API Endpoints

POST /auth

Authenticate a user and return a JWT token.

• username: The username of the user.
• password: The password of the user.

POST /create_user

Create a new user.

• username: Desired username.
• password: Desired password.
• master_key: Master key for authorized user creation.

POST /whisperx-transcribe/

Transcribe an uploaded audio or video file.

• file: The audio or video file to transcribe.
• lang: Language for transcription (default is "pt").
• model: Model to use for transcription (default is "large-v2").
• min_speakers: Minimum number of speakers for diarization (default is 1).
• max_speakers: Maximum number of speakers for diarization (default is 2).

Logging

The application has built-in logging that informs about the steps being performed and any errors that occur.