Rebrand project to UncloseAI Speech

Renamed all references from openedai-speech to uncloseai-speech across
the entire codebase, including:
- Project name in README and documentation
- Docker image names in compose files
- Makefile deployment paths and container names
- Configuration examples in vars.sh.example

This establishes our raccoon mission fork as UncloseAI Speech, a unified
TTS system supporting multiple engines (Piper, XTTS, etc.) with OpenAI
API compatibility.

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

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

Makefile

@@ -1,4 +1,4 @@
-# Raccoon Mission: OpenedAI Speech Development Makefile
+# Raccoon Mission: UncloseAI Speech Development Makefile
 # Deploy to remote server with ease
 # Configuration is loaded from vars.sh (copy vars.sh.example to vars.sh)
 
@@ -11,8 +11,8 @@ endif
 # Fallback defaults if vars.sh is not found
 REMOTE_HOST ?= localhost
 REMOTE_USER ?= $(USER)
-REMOTE_PATH ?= ~/openedai-speech-fresh
-CONTAINER_NAME ?= openedai-speech-fresh-server-1
+REMOTE_PATH ?= ~/uncloseai-speech-fresh
+CONTAINER_NAME ?= uncloseai-speech-fresh-server-1
 
 .PHONY: help deploy sync restart logs test clean stop start voices
 

README.md

@@ -1,4 +1,4 @@
-# OpenedAI Speech
+# UncloseAI Speech
 
 Notice: This software is mostly obsolete and will no longer be updated.
 
@@ -219,7 +219,7 @@ docker compose -f docker-compose.min.yml up
 usage: speech.py [-h] [--xtts_device XTTS_DEVICE] [--preload PRELOAD] [--unload-timer UNLOAD_TIMER] [--use-deepspeed] [--no-cache-speaker] [-P PORT] [-H HOST]
                  [-L {DEBUG,INFO,WARNING,ERROR,CRITICAL}]
 
-OpenedAI Speech API Server
+UncloseAI Speech API Server
 
 options:
   -h, --help            show this help message and exit
@@ -405,7 +405,7 @@ Adding a custom xtts model is simple. Here is an example of how to add a custom
 
 1) Save the model folder under `voices/` (all 4 files are required, including the vocab.json from the model)
 ```
-openedai-speech$ ls voices/halo/
+uncloseai-speech$ ls voices/halo/
 config.json  vocab.json  model.pth  sample.wav
 ```
 2) Add the custom voice entry under the `tts-1-hd` section of `config/voice_to_speaker.yaml`:

docker-compose.min.yml

@@ -2,7 +2,7 @@ services:
   server:
     build:
       dockerfile: Dockerfile.min # piper for all models, no gpu/nvidia required, ~1GB
-    image: ghcr.io/matatonic/openedai-speech-min
+    image: ghcr.io/matatonic/uncloseai-speech-min
     env_file: speech.env
     ports:
       - "8000:8000"

docker-compose.rocm.yml

@@ -4,7 +4,7 @@ services:
       dockerfile: Dockerfile
       args:
         - USE_ROCM=1
-    image: ghcr.io/matatonic/openedai-speech-rocm
+    image: ghcr.io/matatonic/uncloseai-speech-rocm
     env_file: speech.env
     ports:
       - "8000:8000"

docker-compose.yml

@@ -2,7 +2,7 @@ services:
   server:
     build:
       dockerfile: Dockerfile
-    image: ghcr.io/matatonic/openedai-speech
+    image: ghcr.io/matatonic/uncloseai-speech
     env_file: speech.env
     ports:
       - "8000:8000"

requirements.txt

@@ -4,6 +4,8 @@ loguru
 # OHF-Voice fork doesn't have installable Python package yet
 # Stick with PyPI piper-tts but use absolute paths in config
 piper-tts>=1.2.0
+# 🦝 RACCOON TODO: Create our own PyPI package from OHF-Voice fork
+# git+https://github.com/OHF-Voice/piper1-gpl.git@v1.3.0#subdirectory=src/python_run
 coqui-tts[languages]
 langdetect
 pyyaml

speech.py

@@ -425,7 +425,7 @@ def auto_torch_device():
 
 if __name__ == "__main__":
     parser = argparse.ArgumentParser(
-        description='OpenedAI Speech API Server',
+        description='UncloseAI Speech API Server',
         formatter_class=argparse.ArgumentDefaultsHelpFormatter)
 
     parser.add_argument('--xtts_device', action='store', default=auto_torch_device(), help="Set the device for the xtts model. The special value of 'none' will use piper for all models.")

vars.sh.example

@@ -4,5 +4,5 @@
 
 export REMOTE_HOST="your.server.hostname"
 export REMOTE_USER="your_username"
-export REMOTE_PATH="~/openedai-speech-fresh"
-export CONTAINER_NAME="openedai-speech-fresh-server-1"
+export REMOTE_PATH="~/uncloseai-speech-fresh"
+export CONTAINER_NAME="uncloseai-speech-fresh-server-1"