Update repository links and prefer Makefile workflow

Repository migration:
- Updated primary repository to GitLab: uncloseai-speech
- Original GitHub repo (russellballestrini/openedai-speech) was archived
- New GitHub mirror: matatonic/openedai-speech
- Updated git remotes to reflect new URLs

README improvements:
- Added Makefile-based workflow as recommended installation method
- Reorganized installation section: Makefile first, Docker second, manual third
- Updated voice compatibility info (removed Silero OpenAI aliases)
- Added note about optional model parameter and auto-detection
- Referenced docs/CLAUDE.md for detailed Makefile usage

🦝 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

README.md

@@ -2,11 +2,11 @@
 
 🦝 **Raccoon Mission Fork:** Rescuing abandoned TTS models and building a unified, resilient text-to-speech system.
 
-**Mirrors:**
-- Primary: https://git.unturf.com/engineering/unturf/openedai-speech
-- GitHub: https://github.com/russellballestrini/openedai-speech
+**Repository:**
+- Primary: https://git.unturf.com/engineering/unturf/uncloseai-speech (GitLab)
+- Mirror: https://github.com/matatonic/openedai-speech (GitHub - original archived)
 
-**Original Notice:** This software was mostly obsolete and no longer updated by the original maintainer.
+**Original Notice:** The original `openedai-speech` project was archived and no longer maintained. This is the active fork.
 
 **Raccoon Mission:** We're bringing it back to life with:
 - ✅ Working Piper TTS (tts-1) - 55 voices, fast CPU inference
@@ -30,10 +30,11 @@ An OpenAI API compatible text to speech server.
 * A free, private, text-to-speech server with custom voice cloning
 
 Full Compatibility:
-* `tts-1`: `alloy`, `echo`, `fable`, `onyx`, `nova`, and `shimmer` (configurable)
+* `tts-1`: `alloy`, `echo`, `fable`, `onyx`, `nova`, and `shimmer` (configurable, 100+ Piper voices available)
 * `tts-1-hd`:  `alloy`, `echo`, `fable`, `onyx`, `nova`, and `shimmer` (configurable, uses OpenAI samples by default)
-* `tts-1-silero`: `alloy`, `echo`, `fable`, `onyx`, `nova`, and `shimmer` (148 total voices available)
-* `tts-1-kokoro`: `alloy`, `echo`, `fable`, `onyx`, `nova`, and `shimmer` (34 total voices available)
+* `tts-1-silero`: 148 voices with native names (`en_0`, `en_1`, etc.) across 5 languages (English, Russian, German, Spanish, French)
+* `tts-1-kokoro`: `alloy`, `echo`, `fable`, `onyx`, `nova`, `shimmer` (OpenAI-themed voices) + 34 native voices
+* `model` parameter is optional - voice auto-detection automatically selects the correct engine
 * response_format: `mp3`, `opus`, `aac`, `flac`, `wav` and `pcm`
 * speed 0.25-4.0 (and more)
 
@@ -192,14 +193,47 @@ Version: 0.7.3, 2024-03-20
 
 ## Installation instructions
 
-### Create a `speech.env` environment file
+### Recommended: Makefile-based workflow
+
+The project includes a comprehensive Makefile for deployment and development. See available commands:
+
+```bash
+make help
+```
+
+#### Quick Start with Makefile
+
+1. **Create deployment configuration** (if deploying to remote server):
+```bash
+cp vars.sh.example vars.sh
+# Edit vars.sh with your server details
+```
+
+2. **Deploy to remote server**:
+```bash
+make deploy          # Sync files, rebuild container, restart
+make voices          # Download Piper + XTTS voice models
+make test            # Test the API
+make logs            # View live logs
+```
+
+3. **Local development**:
+```bash
+make local-deploy    # Deploy locally with docker compose
+```
+
+See `docs/CLAUDE.md` for detailed Makefile usage and development workflow.
+
+### Alternative: Manual Docker setup
+
+#### Create a `speech.env` environment file
 
 Copy the `sample.env` to `speech.env` (customize if needed)
 ```bash
 cp sample.env speech.env
 ```
 
-#### Defaults
+**Defaults:**
 ```bash
 TTS_HOME=voices
 HF_HOME=voices
@@ -209,7 +243,29 @@ HF_HOME=voices
 #USE_ROCM=1
 ```
 
-### Option A: Manual installation
+#### Docker Images
+
+**Nvidia GPU (cuda)**
+```shell
+docker compose up
+```
+
+**AMD GPU (ROCm support)**
+```shell
+docker compose -f docker-compose.rocm.yml up
+```
+
+**ARM64 (Apple M-series, Raspberry Pi)**
+> XTTS only has CPU support here and will be very slow, you can use the Nvidia image for XTTS with CPU (slow), or use the piper only image (recommended)
+
+**CPU only, No GPU (piper only)**
+> For a minimal docker image with only piper support (<1GB vs. 8GB).
+```shell
+docker compose -f docker-compose.min.yml up
+```
+
+### Alternative: Manual Python installation
+
 ```shell
 # install curl and ffmpeg
 sudo apt install curl ffmpeg
@@ -226,32 +282,6 @@ bash startup.sh
 
 > On first run, the voice models will be downloaded automatically. This might take a while depending on your network connection.
 
-### Option B: Docker Image (*recommended*)
-
-#### Nvidia GPU (cuda)
-
-```shell
-docker compose up
-```
-
-#### AMD GPU (ROCm support)
-
-```shell
-docker compose -f docker-compose.rocm.yml up
-```
-
-#### ARM64 (Apple M-series, Raspberry Pi)
-
-> XTTS only has CPU support here and will be very slow, you can use the Nvidia image for XTTS with CPU (slow), or use the piper only image (recommended)
-
-#### CPU only, No GPU (piper only)
-
-> For a minimal docker image with only piper support (<1GB vs. 8GB).
-
-```shell
-docker compose -f docker-compose.min.yml up
-```
-
 ## Server Options
 
 ```shell