Adolfo Delorenzo
17e0f2f03d
- Implement ConnectionManager with exponential backoff retry strategy - Add automatic connection monitoring and health checks - Update RequestQueueManager to integrate with connection state - Create ConnectionUI component for visual connection status - Queue requests during offline periods and process when online - Add comprehensive error handling for network-related failures - Create detailed documentation for connection retry features - Support manual retry and automatic recovery Features: - Real-time connection status indicator - Offline banner with retry button - Request queue visualization - Priority-based request processing - Configurable retry parameters 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> |
||
|---|---|---|
| static | ||
| templates | ||
| venv | ||
| .gitignore | ||
| app.py | ||
| CONNECTION_RETRY.md | ||
| CORS_CONFIG.md | ||
| GPU_SUPPORT.md | ||
| health-monitor.py | ||
| maintenance.sh | ||
| package-lock.json | ||
| package.json | ||
| README_TYPESCRIPT.md | ||
| README.md | ||
| requirements.txt | ||
| 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 -
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.
Mobile Support
The interface is fully responsive and designed to work well on mobile devices.