Automated Action 99937b3fd7 Add comprehensive Google OAuth integration for easy login/signup
Features:
- Complete Google OAuth 2.0 integration with ID token and authorization code flows
- Enhanced User model with Google OAuth fields (google_id, is_google_user, email_verified, profile_picture)
- Google OAuth service for token verification and user info extraction
- Multiple authentication endpoints:
  - GET /auth/google/oauth-url (get OAuth URL for frontend)
  - POST /auth/google/login-with-token (direct ID token login)
  - POST /auth/google/login-with-code (authorization code exchange)
- Smart user handling: creates new users or links existing accounts
- Issues own JWT tokens after Google authentication
- Database migration 004 for Google OAuth fields
- Enhanced login logic to handle Google vs password users
- Comprehensive README with Google OAuth setup instructions
- Frontend integration examples for both OAuth flows

Google OAuth automatically:
- Creates user accounts on first login
- Links existing email accounts to Google
- Extracts profile information (name, picture, locale)
- Verifies email addresses
- Issues secure JWT tokens for API access
2025-06-25 05:49:54 +00:00

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7.9 KiB
Markdown

# AI Video Dubbing API
A FastAPI backend for an AI-powered video dubbing tool that allows content creators to upload short-form videos, transcribe audio, translate to different languages, clone voices, and generate dubbed videos with lip-sync.
## Features
🔐 **Authentication**: JWT-based user registration and login
👤 **User Profiles**: Complete profile management with settings
📁 **Video Upload**: Upload MP4/MOV files to Amazon S3 (max 200MB)
🧠 **Transcription**: Audio transcription using OpenAI Whisper API
🌍 **Translation**: Text translation using GPT-4 API
🗣️ **Voice Cloning**: Voice synthesis using ElevenLabs API
🎥 **Video Processing**: Audio replacement and video processing with ffmpeg
## Tech Stack
- **FastAPI** - Modern, fast web framework
- **SQLite** - Database with SQLAlchemy ORM
- **Amazon S3** - File storage
- **OpenAI Whisper** - Audio transcription
- **GPT-4** - Text translation
- **ElevenLabs** - Voice cloning and synthesis
- **ffmpeg** - Video/audio processing
## Quick Start
### 1. Install Dependencies
```bash
pip install -r requirements.txt
```
### 2. Set Environment Variables
Create a `.env` file in the root directory with the following variables:
```env
# Authentication
SECRET_KEY=your-secret-key-change-this-in-production
# Google OAuth Configuration
GOOGLE_CLIENT_ID=your-google-client-id
GOOGLE_CLIENT_SECRET=your-google-client-secret
GOOGLE_REDIRECT_URI=http://localhost:3000/auth/google/callback
# AWS S3 Configuration
AWS_ACCESS_KEY_ID=your-aws-access-key
AWS_SECRET_ACCESS_KEY=your-aws-secret-key
AWS_REGION=us-east-1
S3_BUCKET_NAME=your-s3-bucket-name
# OpenAI Configuration
OPENAI_API_KEY=your-openai-api-key
# ElevenLabs Configuration
ELEVENLABS_API_KEY=your-elevenlabs-api-key
```
### 3. Run Database Migrations
The database will be automatically created when you start the application. The SQLite database will be stored at `/app/storage/db/db.sqlite`.
### 4. Start the Application
```bash
python main.py
```
Or with uvicorn:
```bash
uvicorn main:app --host 0.0.0.0 --port 8000 --reload
```
The API will be available at:
- **API**: http://localhost:8000
- **Documentation**: http://localhost:8000/docs
- **Alternative Docs**: http://localhost:8000/redoc
- **Health Check**: http://localhost:8000/health
## API Endpoints
### Authentication
- `POST /auth/register` - User registration with email/password
- `POST /auth/login` - User login with email/password
- `GET /auth/google/oauth-url` - Get Google OAuth URL for frontend
- `POST /auth/google/login-with-token` - Login/signup with Google ID token
- `POST /auth/google/login-with-code` - Login/signup with Google authorization code
### Profile Management
- `GET /profile/` - Get user profile
- `PUT /profile/` - Update profile information
- `PUT /profile/password` - Update password
- `PUT /profile/email` - Update email address
- `DELETE /profile/` - Delete user account
### Video Management
- `POST /videos/upload` - Upload video with language settings
- `GET /videos/` - Get user's videos
- `GET /videos/{video_id}` - Get specific video details
### Processing Pipeline
- `POST /transcription/{video_id}` - Start audio transcription
- `GET /transcription/{video_id}` - Get transcription results
- `POST /translation/{video_id}` - Start text translation
- `GET /translation/{video_id}` - Get translation results
- `POST /voice/clone/{video_id}` - Start voice cloning and audio generation
- `GET /voice/{video_id}` - Get dubbed audio results
- `POST /process/{video_id}` - Start final video processing
- `GET /process/{video_id}` - Get processed video results
### Results
- `GET /process/results/{video_id}` - Get complete processing results
## Google OAuth Setup
### 1. Create Google OAuth Application
1. Go to [Google Cloud Console](https://console.cloud.google.com/)
2. Create a new project or select existing one
3. Enable the Google+ API
4. Go to "Credentials" → "Create Credentials" → "OAuth 2.0 Client IDs"
5. Choose "Web application"
6. Add authorized redirect URIs:
- `http://localhost:3000/auth/google/callback` (for development)
- Your production callback URL
### 2. Configure Environment Variables
Add these to your `.env` file:
```env
GOOGLE_CLIENT_ID=your-google-oauth-client-id
GOOGLE_CLIENT_SECRET=your-google-oauth-client-secret
GOOGLE_REDIRECT_URI=http://localhost:3000/auth/google/callback
```
### 3. Frontend Integration
**Option 1: Direct Token Method**
```javascript
// Use Google's JavaScript library to get ID token
const response = await fetch('/auth/google/login-with-token', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ id_token: googleIdToken })
});
```
**Option 2: Authorization Code Method**
```javascript
// Redirect user to Google OAuth URL, then exchange code
const oauthUrl = await fetch('/auth/google/oauth-url').then(r => r.json());
// Redirect to oauthUrl.oauth_url
// On callback, exchange code:
const response = await fetch('/auth/google/login-with-code', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
code: authorizationCode,
redirect_uri: 'http://localhost:3000/auth/google/callback'
})
});
```
## Workflow
1. **Register/Login** (Email/Password or Google OAuth) to get JWT token
2. **Upload Video** with source and target languages
3. **Transcribe** the audio from the video
4. **Translate** the transcribed text
5. **Clone Voice** and generate dubbed audio
6. **Process Video** to replace original audio with dubbed audio
7. **Download** the final dubbed video
## Environment Variables Reference
| Variable | Description | Required |
|----------|-------------|----------|
| `SECRET_KEY` | JWT secret key for authentication | Yes |
| `GOOGLE_CLIENT_ID` | Google OAuth client ID | No* |
| `GOOGLE_CLIENT_SECRET` | Google OAuth client secret | No* |
| `GOOGLE_REDIRECT_URI` | Google OAuth redirect URI | No* |
| `AWS_ACCESS_KEY_ID` | AWS access key for S3 | Yes |
| `AWS_SECRET_ACCESS_KEY` | AWS secret key for S3 | Yes |
| `AWS_REGION` | AWS region (default: us-east-1) | No |
| `S3_BUCKET_NAME` | S3 bucket name for file storage | Yes |
| `OPENAI_API_KEY` | OpenAI API key for Whisper and GPT-4 | Yes |
| `ELEVENLABS_API_KEY` | ElevenLabs API key for voice cloning | Yes |
*Required only if Google OAuth is enabled
## File Storage Structure
Files are stored in S3 with the following structure:
```
/videos/{uuid}.mp4 - Original uploaded videos
/dubbed_audio/{uuid}.mp3 - Generated dubbed audio files
/processed_videos/{uuid}.mp4 - Final processed videos
```
## Database Schema
- **users**: User accounts with email/password
- **videos**: Video metadata and processing status
- **transcriptions**: Audio transcriptions
- **translations**: Translated text
- **dubbed_audios**: Generated audio files
- **dubbed_videos**: Final processed videos
## Status Tracking
Videos have the following status values:
- `uploaded` - Video uploaded successfully
- `transcribing` - Audio transcription in progress
- `transcribed` - Transcription completed
- `translating` - Text translation in progress
- `translated` - Translation completed
- `voice_cloning` - Voice cloning and audio generation in progress
- `voice_cloned` - Dubbed audio generated
- `processing_video` - Final video processing in progress
- `completed` - All processing completed
- `*_failed` - Various failure states
## Development
### Code Linting
```bash
ruff check . --fix
```
### Project Structure
```
├── main.py # FastAPI application entry point
├── requirements.txt # Python dependencies
├── alembic.ini # Database migration configuration
├── app/
│ ├── db/ # Database configuration
│ ├── models/ # SQLAlchemy models
│ ├── routes/ # API endpoints
│ ├── services/ # Business logic and external API integrations
│ └── utils/ # Utility functions (auth, etc.)
└── alembic/
└── versions/ # Database migration files
```