- Implement encrypted secrets storage with AES-128 encryption - Add secret rotation capabilities with scheduling - Implement comprehensive audit logging for all secret operations - Create centralized configuration management system - Add CLI tool for interactive secret management - Integrate secrets with Flask configuration - Support environment-specific configurations - Add integrity verification for stored secrets - Implement secure key derivation with PBKDF2 Features: - Encrypted storage in .secrets.json - Master key protection with file permissions - Automatic secret rotation scheduling - Audit trail for compliance - Migration from environment variables - Flask CLI integration - Validation and sanitization Security improvements: - No more hardcoded secrets in configuration - Encrypted storage at rest - Secure key management - Access control via authentication - Comprehensive audit logging - Integrity verification CLI commands: - manage_secrets.py init - Initialize secrets - manage_secrets.py set/get/delete - Manage secrets - manage_secrets.py rotate - Rotate secrets - manage_secrets.py audit - View audit logs - manage_secrets.py verify - Check integrity 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> |
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static | ||
templates | ||
venv | ||
.env.example | ||
.gitignore | ||
app.py | ||
config.py | ||
CONNECTION_RETRY.md | ||
CORS_CONFIG.md | ||
GPU_SUPPORT.md | ||
health-monitor.py | ||
maintenance.sh | ||
manage_secrets.py | ||
package-lock.json | ||
package.json | ||
rate_limiter.py | ||
RATE_LIMITING.md | ||
README_TYPESCRIPT.md | ||
README.md | ||
requirements.txt | ||
SECRETS_MANAGEMENT.md | ||
secrets_manager.py | ||
SECURITY.md | ||
setup-script.sh | ||
test-cors.html | ||
tsconfig.json | ||
tts_test_output.mp3 | ||
tts-debug-script.py | ||
validators.py | ||
whisper_config.py |
Voice Language Translator
A mobile-friendly web application that translates spoken language between multiple languages using:
- Gemma 3 open-source LLM via Ollama for translation
- OpenAI Whisper for speech-to-text
- OpenAI Edge TTS for text-to-speech
Supported Languages
- Arabic
- Armenian
- Azerbaijani
- English
- French
- Georgian
- Kazakh
- Mandarin
- Farsi
- Portuguese
- Russian
- Spanish
- Turkish
- Uzbek
Setup Instructions
-
Install the required Python packages:
pip install -r requirements.txt
-
Configure secrets and environment:
# Initialize secure secrets management python manage_secrets.py init # Set required secrets python manage_secrets.py set TTS_API_KEY # Or use traditional .env file cp .env.example .env nano .env
⚠️ Security Note: Talk2Me includes encrypted secrets management. See SECURITY.md and SECRETS_MANAGEMENT.md for details.
-
Make sure you have Ollama installed and the Gemma 3 model loaded:
ollama pull gemma3
-
Ensure your OpenAI Edge TTS server is running on port 5050.
-
Run the application:
python app.py
-
Open your browser and navigate to:
http://localhost:8000
Usage
- Select your source language from the dropdown menu
- Press the microphone button and speak
- Press the button again to stop recording
- Wait for the transcription to complete
- Select your target language
- Press the "Translate" button
- Use the play buttons to hear the original or translated text
Technical Details
- The app uses Flask for the web server
- Audio is processed client-side using the MediaRecorder API
- Whisper for speech recognition with language hints
- Ollama provides access to the Gemma 3 model for translation
- OpenAI Edge TTS delivers natural-sounding speech output
CORS Configuration
The application supports Cross-Origin Resource Sharing (CORS) for secure cross-origin usage. See CORS_CONFIG.md for detailed configuration instructions.
Quick setup:
# Development (allow all origins)
export CORS_ORIGINS="*"
# Production (restrict to specific domains)
export CORS_ORIGINS="https://yourdomain.com,https://app.yourdomain.com"
export ADMIN_CORS_ORIGINS="https://admin.yourdomain.com"
Connection Retry & Offline Support
Talk2Me handles network interruptions gracefully with automatic retry logic:
- Automatic request queuing during connection loss
- Exponential backoff retry with configurable parameters
- Visual connection status indicators
- Priority-based request processing
See CONNECTION_RETRY.md for detailed documentation.
Rate Limiting
Comprehensive rate limiting protects against DoS attacks and resource exhaustion:
- Token bucket algorithm with sliding window
- Per-endpoint configurable limits
- Automatic IP blocking for abusive clients
- Global request limits and concurrent request throttling
- Request size validation
See RATE_LIMITING.md for detailed documentation.
Mobile Support
The interface is fully responsive and designed to work well on mobile devices.