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Documentation Update Summary

Overview

Updated all documentation and configuration files to reflect the new Silero VAD feature and ensure users can properly install and use the Whisper server.

Files Updated

1. requirements.txt ✅

Changes:

  • Added version constraints for stability (e.g., >=0.104.0)
  • Added torchaudio>=2.0.0 (required for Silero VAD)
  • Updated to use recommended versions

Why: Silero VAD requires torchaudio for audio tensor operations

2. README.md ✅

Changes:

  • Added Silero VAD feature description in "Details" section
  • Updated version to 0.2.0 (from 0.1.0)
  • Updated default model to large-v3 (from large-v2)
  • Updated default host to 0.0.0.0 (from localhost)
  • Expanded installation instructions for all platforms
  • Added comprehensive "Automatic Tone and Silence Skipping" section
  • Added health check endpoint documentation
  • Added troubleshooting section
  • Fixed typo in curl examples (transscriptions → transcriptions)
  • Updated Docker notes with Silero VAD information

Why: Users need to understand the new VAD feature and have clear installation steps

3. whisper.env ✅

Changes:

  • Fixed model parameter format (removed openai/ prefix)
  • Changed from large-v2 to large-v3 as default
  • Added helpful comments explaining each option
  • Added examples for different models and configurations

Why: Old format was incorrect for whisper_server.py CLI arguments

4. Dockerfile ✅

Changes:

  • Fixed CMD to use whisper_server.py instead of whisper.py

Why: The actual script name is whisper_server.py

5. INSTALL.md ✅ (NEW FILE)

Purpose: Comprehensive installation guide for all platforms Includes:

  • System requirements
  • Platform-specific instructions (Linux, macOS, Windows)
  • Docker installation (CPU and GPU)
  • CUDA setup
  • Verification steps
  • Configuration options
  • Troubleshooting
  • System service setup (systemd, launchd, NSSM)

Why: Users need detailed installation instructions beyond the quick README

6. QUICKSTART.md ✅ (NEW FILE)

Purpose: Get users up and running in under 5 minutes Includes:

  • Minimal installation steps
  • Quick test commands
  • Common options
  • Python API example
  • Model comparison table
  • Quick troubleshooting

Why: Users want to test quickly before reading full documentation

7. CHANGES.md ✅ (NEW FILE)

Purpose: Changelog documenting v0.2.0 updates Includes:

  • New Silero VAD feature details
  • Technical implementation notes
  • Dependencies added
  • Configuration changes
  • Bug fixes
  • Documentation updates
  • Migration notes

Why: Users upgrading need to know what changed

8. DEPENDENCIES.md ✅ (NEW FILE)

Purpose: Explain every dependency and why it's needed Includes:

  • Purpose of each package
  • Size and license information
  • Silero VAD auto-download explanation
  • Total disk space requirements
  • Memory requirements
  • Version constraints explanation
  • Security considerations
  • Troubleshooting dependency issues

Why: Users want to understand what they're installing and why

Summary of Key Changes

New Feature: Silero VAD Integration

  • Automatically detects and skips alert tones and silence
  • No user configuration required
  • ~2MB model downloaded on first run
  • Improves transcription accuracy for radio/pager audio

Configuration Updates

  • Default model: large-v2 → large-v3
  • Default host: localhost → 0.0.0.0
  • Fixed whisper.env model parameter format
  • Fixed Dockerfile script reference

Documentation Improvements

  • 4 new comprehensive documentation files
  • Platform-specific installation instructions
  • Detailed troubleshooting sections
  • API examples and usage guides
  • Dependency explanations
  • System service setup instructions

Dependency Updates

  • Added torchaudio (required for Silero VAD)
  • Version-pinned all dependencies for stability
  • Documented disk space and memory requirements

Testing Recommendations

Users should test:

  1. ✅ Installation on their platform
  2. ✅ Health check endpoint
  3. ✅ Transcription with sample audio
  4. ✅ Silero VAD model auto-download
  5. ✅ GPU detection (if applicable)

Migration Path

For existing users upgrading:

# 1. Update dependencies
pip install -r requirements.txt --upgrade

# 2. Update whisper.env (if using Docker)
# Edit whisper.env to use new format: --model large-v3

# 3. First transcription will download Silero VAD (~2MB)
# This is automatic and one-time

# 4. No code changes required - fully backward compatible

Files Unchanged

These files work correctly as-is:

  • ✅ whisper_server.py (user's updated version with Silero VAD)
  • ✅ openedai.py (FastAPI stub, no changes needed)
  • ✅ docker-compose.yml (already correct)
  • ✅ LICENSE (unchanged)

User Benefits

After these updates, users can:

  1. Install easily on any platform with clear instructions
  2. Understand what each dependency does and why
  3. Get started quickly with QUICKSTART.md
  4. Troubleshoot issues using comprehensive guides
  5. Understand the new Silero VAD feature and its benefits
  6. Deploy as a system service for production use
  7. Migrate from older versions smoothly

Next Steps for Users

Recommended reading order:

  1. QUICKSTART.md - Get running in 5 minutes
  2. README.md - Learn API usage and features
  3. INSTALL.md - Deep dive into installation options
  4. DEPENDENCIES.md - Understand what's installed
  5. CHANGES.md - See what's new in v0.2.0

All documentation is now complete, accurate, and ready for users! ✅