13 changed files with 29 additions and 516 deletions
--- a/Dockerfile.cpu
+++ b/Dockerfile.cpu
@ -1,47 +0,0 @@
-FROM ubuntu:22.04
-
-# Set non-interactive frontend
-ENV DEBIAN_FRONTEND=noninteractive
-
-# Install Python and other dependencies
-RUN apt-get update && apt-get install -y \
-    python3.10 \
-    python3-pip \
-    python3-venv \
-    libsndfile1 \
-    ffmpeg \
-    portaudio19-dev \
- && apt-get clean && rm -rf /var/lib/apt/lists/*
-
-# Create non-root user and set up directories
-RUN useradd -m -u 1001 appuser && \
-    mkdir -p /app/outputs /app && \
-    chown -R appuser:appuser /app
-
-USER appuser
-WORKDIR /app
-
-# Copy dependency files
-COPY --chown=appuser:appuser requirements.txt ./requirements.txt
-
-# Create and activate virtual environment
-RUN python3 -m venv /app/venv
-ENV PATH="/app/venv/bin:$PATH"
-
-# Install CPU-only PyTorch and other dependencies
-RUN pip3 install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu && \
-    pip3 install --no-cache-dir -r requirements.txt
-
-# Copy project files
-COPY --chown=appuser:appuser . .
-
-# Set environment variables
-ENV PYTHONUNBUFFERED=1 \
-    PYTHONPATH=/app \
-    USE_GPU=false
-
-# Expose the port
-EXPOSE 5005
-
-# Run FastAPI server with uvicorn
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "5005", "--workers", "1"]
--- a/Dockerfile.gpu-rocm
+++ b/Dockerfile.gpu-rocm
@ -1,50 +0,0 @@
-FROM rocm/dev-ubuntu-22.04:latest
-
-# Set non-interactive frontend
-ENV DEBIAN_FRONTEND=noninteractive
-
-# Install Python and other dependencies
-RUN apt-get update && apt-get install -y \
-    python3.10 \
-    python3-pip \
-    python3-venv \
-    libsndfile1 \
-    ffmpeg \
-    portaudio19-dev \
-    libjpeg-dev \
-    python3-dev \
-    && apt-get install python3-wheel python3-setuptools \
-    && apt-get clean && rm -rf /var/lib/apt/lists/*
-
-# Create non-root user and set up directories
-RUN useradd -m -u 1001 appuser && \
-    mkdir -p /app/outputs /app && \
-    chown -R appuser:appuser /app
-
-USER appuser
-WORKDIR /app
-
-# Copy dependency files
-COPY --chown=appuser:appuser requirements.txt ./requirements.txt
-
-# Create and activate virtual environment
-RUN python3 -m venv /app/venv
-ENV PATH="/app/venv/bin:$PATH"
-
-# Install PyTorch with ROCm support and other dependencies
-RUN pip3 install --no-cache-dir --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.4/ && \
-    pip3 install --no-cache-dir -r requirements.txt
-    
-# Copy project files
-COPY --chown=appuser:appuser . .
-
-# Set environment variables
-ENV PYTHONUNBUFFERED=1 \
-    PYTHONPATH=/app \
-    USE_GPU=true
-
-# Expose the port
-EXPOSE 5005
-
-# Run FastAPI server with uvicorn
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "5005", "--workers", "1"]
--- a/README.md
+++ b/README.md
@ -4,34 +4,10 @@

 [![GitHub](https://img.shields.io/github/license/Lex-au/Orpheus-FastAPI)](https://github.com/Lex-au/Orpheus-FastAPI/blob/main/LICENSE.txt)

-High-performance Text-to-Speech server with OpenAI-compatible API, multilingual support with 24 voices, emotion tags, and modern web UI. Optimized for RTX GPUs.
+High-performance Text-to-Speech server with OpenAI-compatible API, 8 voices, emotion tags, and modern web UI. Optimized for RTX GPUs.

 ## Changelog

-**v1.3.1** (2025-07-05)
- 🐳 ROCm Docker implementation contributed by [@wizardeur](https://github.com/wizardeur) – many thanks for your contribution ❤️
-
-**v1.3.0** (2025-04-18)
- 🌐 Added comprehensive multilingual support with 16 new voice actors across 7 languages
- 🗣️ New voice actors include:
-  - French: pierre, amelie, marie
-  - German: jana, thomas, max
-  - Korean: 유나, 준서
-  - Hindi: ऋतिका
-  - Mandarin: 长乐, 白芷
-  - Spanish: javi, sergio, maria
-  - Italian: pietro, giulia, carlo
- 🔄 Enhanced UI with dynamic language selection and voice filtering
- 🚀 Released language-specific optimized models:
-  - [Italian & Spanish Model](https://huggingface.co/lex-au/Orpheus-3b-Italian_Spanish-FT-Q8_0.gguf)
-  - [Korean Model](https://huggingface.co/lex-au/Orpheus-3b-Korean-FT-Q8_0.gguf)
-  - [French Model](https://huggingface.co/lex-au/Orpheus-3b-French-FT-Q8_0.gguf)
-  - [Hindi Model](https://huggingface.co/lex-au/Orpheus-3b-Hindi-FT-Q8_0.gguf)
-  - [Mandarin Model](https://huggingface.co/lex-au/Orpheus-3b-Chinese-FT-Q8_0.gguf)
-  - [German Model](https://huggingface.co/lex-au/Orpheus-3b-German-FT-Q8_0.gguf)
- 🐳 Docker Compose users: To use a language-specific model, edit the `.env` file before installation and change `ORPHEUS_MODEL_NAME` to match the desired model repo ID (e.g., `Orpheus-3b-French-FT-Q8_0.gguf`)
- An additional Docker Compose installation path is now available, specifically for CPU-bound scenarios. This contribution comes from [@alexjyong](https://github.com/alexjyong) - thank you!
-
 **v1.2.0** (2025-04-12)
 - ❤️ Added optional Docker Compose support with GPU-enabled `llama.cpp` server and Orpheus-FastAPI integration  
 - 🐳 Docker implementation contributed by [@richardr1126](https://github.com/richardr1126) – huge thanks for the clean setup and orchestration work!  
@ -73,7 +49,7 @@ Listen to sample outputs with different voices and emotions:
 - **OpenAI API Compatible**: Drop-in replacement for OpenAI's `/v1/audio/speech` endpoint
 - **Modern Web Interface**: Clean, responsive UI with waveform visualization
 - **High Performance**: Optimized for RTX GPUs with parallel processing
- **Multilingual Support**: 24 different voices across 8 languages (English, French, German, Korean, Hindi, Mandarin, Spanish, Italian)
+- **Multiple Voices**: 8 different voice options with different characteristics
 - **Emotion Tags**: Support for laughter, sighs, and other emotional expressions
 - **Unlimited Audio Length**: Generate audio of any length through intelligent batching
 - **Smooth Transitions**: Crossfaded audio segments for seamless listening experience
@ -104,45 +80,22 @@ Orpheus-FastAPI/
 ### Prerequisites

 - Python 3.8-3.11 (Python 3.12 is not supported due to removal of pkgutil.ImpImporter)
- CUDA-compatible or ROCm-compatible GPU (recommended: RTX series for best performance)
+- CUDA-compatible GPU (recommended: RTX series for best performance)
 - Using docker compose or separate LLM inference server running the Orpheus model (e.g., LM Studio or llama.cpp server)
- For Docker GPU Support, ensure you're using an Nvidia GPU on either Linux or Windows with CUDA 12.4 or greater and NVIDIA Container Toolkit installed

 ### 🐳 Docker compose

 The docker compose file orchestrates the Orpheus-FastAPI for audio and a llama.cpp inference server for the base model token generation. The GGUF model is downloaded with the model-init service.
-There are three versions, two for machines that have access to GPU support `docker-compose-gpu.yaml`, `docker-compose-gpu-rocm.yml`  and one for CPU support only: `docker-compose-cpu.yaml`

 ```bash
-cp .env.example .env # Create your .env file from the example
+cp .env.example .env # Nothing needs to be changed, but the file is required
 copy .env.example .env # For Windows CMD
 ```

-For multilingual models, edit the `.env` file and change the model name:
-```
-# Change this line in .env to use a language-specific model
-ORPHEUS_MODEL_NAME=Orpheus-3b-French-FT-Q8_0.gguf  # Example for French
-```
-
-Then start the services:
-
-For CUDA GPU support run
 ```bash
-docker compose -f docker-compose-gpu.yml up
+docker compose up --build
 ```

-For ROCm GPU support run
-```bash
-docker compose -f docker-compose-gpu-rocm.yml up
-```
-
-For CPU support run:
-```bash
-docker compose -f docker-compose-cpu.yml up
-```
-
-The system will automatically download the specified model from Hugging Face before starting the service.
-
 ### FastAPI Service Native Installation

 1. Clone the repository:
@ -166,11 +119,6 @@ conda activate orpheus-tts
 ```bash
 pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124
 ```
-or
-Install PyTorch with ROCm support:
-```bash
-pip3 install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/rocm6.4/
-```

 4. Install other dependencies:
 ```bash
@ -246,7 +194,6 @@ curl -X POST http://localhost:5005/speak \

 ### Available Voices

-#### English
 - `tara`: Female, conversational, clear
 - `leah`: Female, warm, gentle
 - `jess`: Female, energetic, youthful
@ -256,37 +203,6 @@ curl -X POST http://localhost:5005/speak \
 - `zac`: Male, enthusiastic, dynamic
 - `zoe`: Female, calm, soothing

-#### French
- `pierre`: Male, sophisticated
- `amelie`: Female, elegant
- `marie`: Female, spirited
-
-#### German
- `jana`: Female, clear
- `thomas`: Male, authoritative
- `max`: Male, energetic
-
-#### Korean
- `유나`: Female, melodic
- `준서`: Male, confident
-
-#### Hindi
- `ऋतिका`: Female, expressive
-
-#### Mandarin
- `长乐`: Female, gentle
- `白芷`: Female, clear
-
-#### Spanish
- `javi`: Male, warm
- `sergio`: Male, professional
- `maria`: Female, friendly
-
-#### Italian
- `pietro`: Male, passionate
- `giulia`: Female, expressive
- `carlo`: Male, refined
-
 ### Emotion Tags

 You can insert emotion tags into your text to add expressiveness:
@ -370,7 +286,7 @@ You can easily integrate this TTS solution with [OpenWebUI](https://github.com/o
 3. Change TTS from Web API to OpenAI
 4. Set APIBASE URL to your server address (e.g., `http://localhost:5005/v1`)
 5. API Key can be set to "not-needed"
-6. Set TTS Voice to any of the available voices (e.g., `tara`, `pierre`, `jana`, `유나`, etc.)
+6. Set TTS Voice to one of the available voices: `tara`, `leah`, `jess`, `leo`, `dan`, `mia`, `zac`, or `zoe`
 7. Set TTS Model to `tts-1`

 ### External Inference Server
--- a/app.py
+++ b/app.py
@ -51,7 +51,7 @@ from fastapi.templating import Jinja2Templates
 from pydantic import BaseModel
 import json

-from tts_engine import generate_speech_from_api, AVAILABLE_VOICES, DEFAULT_VOICE, VOICE_TO_LANGUAGE, AVAILABLE_LANGUAGES
+from tts_engine import generate_speech_from_api, AVAILABLE_VOICES, DEFAULT_VOICE

 # Create FastAPI app
 app = FastAPI(
@ -189,12 +189,7 @@ async def root(request: Request):
    """Redirect to web UI"""
    return templates.TemplateResponse(
        "tts.html",
-        {
-            "request": request, 
-            "voices": AVAILABLE_VOICES,
-            "VOICE_TO_LANGUAGE": VOICE_TO_LANGUAGE,
-            "AVAILABLE_LANGUAGES": AVAILABLE_LANGUAGES
-        }
+        {"request": request, "voices": AVAILABLE_VOICES}
    )

@app.get("/web/", response_class=HTMLResponse)
@ -204,13 +199,7 @@ async def web_ui(request: Request):
    config = get_current_config()
    return templates.TemplateResponse(
        "tts.html",
-        {
-            "request": request, 
-            "voices": AVAILABLE_VOICES, 
-            "config": config,
-            "VOICE_TO_LANGUAGE": VOICE_TO_LANGUAGE,
-            "AVAILABLE_LANGUAGES": AVAILABLE_LANGUAGES
-        }
+        {"request": request, "voices": AVAILABLE_VOICES, "config": config}
    )

@app.get("/get_config")
@ -312,9 +301,7 @@ async def generate_from_web(
            {
                "request": request,
                "error": "Please enter some text.",
-                "voices": AVAILABLE_VOICES,
-                "VOICE_TO_LANGUAGE": VOICE_TO_LANGUAGE,
-                "AVAILABLE_LANGUAGES": AVAILABLE_LANGUAGES
+                "voices": AVAILABLE_VOICES
            }
        )
    
@ -347,9 +334,7 @@ async def generate_from_web(
            "voice": voice,
            "output_file": output_path,
            "generation_time": generation_time,
-            "voices": AVAILABLE_VOICES,
-            "VOICE_TO_LANGUAGE": VOICE_TO_LANGUAGE,
-            "AVAILABLE_LANGUAGES": AVAILABLE_LANGUAGES
+            "voices": AVAILABLE_VOICES
        }
    )

--- a/docker-compose-cpu.yaml
+++ b/docker-compose-cpu.yaml
@ -1,56 +0,0 @@
-services:
-  orpheus-fastapi:
-    container_name: orpheus-fastapi
-    build:
-      context: .
-      dockerfile: Dockerfile.cpu  
-    ports:
-      - "5005:5005"
-    env_file:
-      - .env
-    environment:
-      - ORPHEUS_API_URL=http://llama-cpp-server:5006/v1/completions
-    restart: unless-stopped
-    depends_on:
-      llama-cpp-server:
-        condition: service_started
-
-  llama-cpp-server:
-    image: ghcr.io/ggml-org/llama.cpp:server
-    ports:
-      - "5006:5006"
-    volumes:
-      - ./models:/models
-    env_file:
-      - .env
-    depends_on:
-      model-init:
-        condition: service_completed_successfully
-    restart: unless-stopped
-    command: >
-      -m /models/${ORPHEUS_MODEL_NAME}
-      --host 0.0.0.0
-      --port 5006
-      --ctx-size ${ORPHEUS_MAX_TOKENS}
-      --n-predict ${ORPHEUS_MAX_TOKENS}
-      --threads ${LLAMA_CPU_THREADS:-6}
-      --threads-batch ${LLAMA_CPU_THREADS:-6}
-      --rope-scaling linear
-      --no-mmap
-      --no-slots
-      --no-webui
-  model-init:
-    image: curlimages/curl:latest
-    user: ${UID}:${GID}
-    volumes:
-      - ./models:/app/models
-    working_dir: /app
-    command: >
-      sh -c '
-      if [ ! -f /app/models/${ORPHEUS_MODEL_NAME} ]; then
-        echo "Downloading model file..."
-        wget -P /app/models https://huggingface.co/lex-au/${ORPHEUS_MODEL_NAME}/resolve/main/${ORPHEUS_MODEL_NAME}
-      else
-        echo "Model file already exists"
-      fi'
-    restart: "no"
--- a/docker-compose-gpu-rocm.yml
+++ b/docker-compose-gpu-rocm.yml
@ -1,86 +0,0 @@
-services:
-  orpheus-fastapi:
-    container_name: orpheus-fastapi
-    image: orpheus-tts-fastapi-server-orpheus-fastapi:latest
-    build:
-      context: .
-      dockerfile: Dockerfile.gpu-rocm
-    ports:
-      - "5005:5005"
-    env_file:
-      - .env
-    environment:
-      - ORPHEUS_API_URL=http://llama-cpp-server:5006/v1/completions
-    ipc: host
-    privileged: true
-    security_opt:
-      - seccomp=unconfined
-    cap_add:
-      - SYS_PTRACE
-      - CAP_SYS_ADMIN
-    devices:
-      - /dev/kfd
-      - /dev/dri
-      - /dev/mem
-    group_add:
-      - video
-      - render
-      # - 993 # Add numeric render/video group id(s) if your system has different group id(s) than the image - 44(video),109(render)
-    shm_size: 8g
-    restart: unless-stopped
-    depends_on:
-      llama-cpp-server:
-        condition: service_started
-
-  llama-cpp-server:
-    image: ghcr.io/ggml-org/llama.cpp:server-vulkan
-    ports:
-      - "5006:5006"
-    volumes:
-      - ./models:/models
-    env_file:
-      - .env
-    depends_on:
-      model-init:
-        condition: service_completed_successfully
-    cap_add:
-      - SYS_PTRACE
-      - CAP_SYS_ADMIN
-    security_opt:
-      - seccomp=unconfined
-    privileged: true
-    devices:
-      - /dev/kfd
-      - /dev/dri
-      - /dev/mem
-    group_add:
-      - video
-      - 993
-    ipc: host
-    shm_size: 8g
-    restart: unless-stopped
-    command: >
-      -m /models/${ORPHEUS_MODEL_NAME}
-      --port 5006 
-      --host 0.0.0.0 
-      --n-gpu-layers 29
-      --ctx-size ${ORPHEUS_MAX_TOKENS}
-      --n-predict ${ORPHEUS_MAX_TOKENS}
-      --rope-scaling linear
-
-  model-init:
-    image: curlimages/curl:latest
-    user: ${UID}:${GID}
-    volumes:
-      - ./models:/app/models
-    working_dir: /app
-    command: >
-      sh -c '
-      if [ ! -f /app/models/${ORPHEUS_MODEL_NAME} ]; then
-        echo "Downloading model file..."
-        wget -P /app/models https://huggingface.co/lex-au/${ORPHEUS_MODEL_NAME}/resolve/main/${ORPHEUS_MODEL_NAME}
-      else
-        echo "Model file already exists"
-      fi'
-    restart: "no"
-    
--- a/docker-compose-gpu.yml
+++ b/docker-compose-gpu.yml
--- a/docs/TaraLongGeneration.mp3
+++ b/docs/TaraLongGeneration.mp3
--- a/docs/WebUI.png
+++ b/docs/WebUI.png
--- a/docs/index.html
+++ b/docs/index.html
@ -64,10 +64,6 @@
                <td>Default Test (MP3)</td>
                <td><a href="DefaultTest.mp3" target="_blank">DefaultTest.mp3</a></td>
            </tr>
-            <tr>
-                <td>Default Test (MP3)</td>
-                <td><a href="TaraLongGeneration.mp3" target="_blank">TaraLongGeneration.mp3</a></td>
-            </tr>
            <tr>
                <td>WebUI Screenshot (PNG)</td>
                <td>
--- a/templates/tts.html
+++ b/templates/tts.html
@ -155,72 +155,25 @@
                </div>
              </div>

-              <!-- Language selection -->
-              <div class="mb-6">
-                <label class="block text-sm font-medium text-white mb-2">Language</label>
-                <div class="flex flex-wrap gap-3">
-                  {% for language in AVAILABLE_LANGUAGES %}
-                  <div class="language-option {% if language == 'english' %}active{% endif %}" data-language="{{ language }}">
-                    <input type="radio" name="language" value="{{ language }}" class="hidden" {% if language == 'english' %}checked{% endif %}>
-                    <span class="px-3 py-1 rounded-full bg-dark-700 hover:bg-dark-600 text-white text-sm cursor-pointer">{{ language|capitalize }}</span>
-                  </div>
-                  {% endfor %}
-                </div>
-              </div>
-
              <!-- Voice selection -->
              <div class="mb-6">
                <label class="block text-sm font-medium text-white mb-2">Voice</label>
                <div class="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-4">
                  {% for voice_option in voices %}
-                  <div class="voice-card {% if voice_option == DEFAULT_VOICE %}active{% endif %}" 
-                       data-voice="{{ voice_option }}" 
-                       data-language="{{ VOICE_TO_LANGUAGE[voice_option] }}"
-                       style="display: {% if VOICE_TO_LANGUAGE[voice_option] != 'english' %}none{% endif %}">
+                  <div class="voice-card {% if voice_option == DEFAULT_VOICE %}active{% endif %}" data-voice="{{ voice_option }}">
                    <input type="radio" name="voice" value="{{ voice_option }}" class="hidden" {% if voice_option == DEFAULT_VOICE %}checked{% endif %}>
                    <div class="flex items-center mb-2">
                      <span class="font-medium text-white">{{ voice_option|capitalize }}</span>
                    </div>
-                    <div class="text-xs text-dark-300">
-                      {% if voice_option == "tara" %}Female, English, conversational, clear
-                      {% elif voice_option == "leah" %}Female, English, warm, gentle
-                      {% elif voice_option == "jess" %}Female, English, energetic, youthful
-                      {% elif voice_option == "leo" %}Male, English, authoritative, deep
-                      {% elif voice_option == "dan" %}Male, English, friendly, casual
-                      {% elif voice_option == "mia" %}Female, English, professional, articulate
-                      {% elif voice_option == "zac" %}Male, English, enthusiastic, dynamic
-                      {% elif voice_option == "zoe" %}Female, English, calm, soothing
-                      
-                      <!-- French voices -->
-                      {% elif voice_option == "pierre" %}Male, French, sophisticated
-                      {% elif voice_option == "amelie" %}Female, French, elegant
-                      {% elif voice_option == "marie" %}Female, French, spirited
-                      
-                      <!-- German voices -->
-                      {% elif voice_option == "jana" %}Female, German, clear
-                      {% elif voice_option == "thomas" %}Male, German, authoritative
-                      {% elif voice_option == "max" %}Male, German, energetic
-                      
-                      <!-- Korean voices -->
-                      {% elif voice_option == "유나" %}Female, Korean, melodic
-                      {% elif voice_option == "준서" %}Male, Korean, confident
-                      
-                      <!-- Hindi voice -->
-                      {% elif voice_option == "ऋतिका" %}Female, Hindi, expressive
-                      
-                      <!-- Mandarin voices -->
-                      {% elif voice_option == "长乐" %}Female, Mandarin, gentle
-                      {% elif voice_option == "白芷" %}Female, Mandarin, clear
-                      
-                      <!-- Spanish voices -->
-                      {% elif voice_option == "javi" %}Male, Spanish, warm
-                      {% elif voice_option == "sergio" %}Male, Spanish, professional
-                      {% elif voice_option == "maria" %}Female, Spanish, friendly
-                      
-                      <!-- Italian voices -->
-                      {% elif voice_option == "pietro" %}Male, Italian, passionate
-                      {% elif voice_option == "giulia" %}Female, Italian, expressive
-                      {% elif voice_option == "carlo" %}Male, Italian, refined
+    <div class="text-xs text-dark-300">
+                      {% if voice_option == "tara" %}Female, conversational, clear
+                      {% elif voice_option == "leah" %}Female, warm, gentle
+                      {% elif voice_option == "jess" %}Female, energetic, youthful
+                      {% elif voice_option == "leo" %}Male, authoritative, deep
+                      {% elif voice_option == "dan" %}Male, friendly, casual
+                      {% elif voice_option == "mia" %}Female, professional, articulate
+                      {% elif voice_option == "zac" %}Male, enthusiastic, dynamic
+                      {% elif voice_option == "zoe" %}Female, calm, soothing
                      {% endif %}
                    </div>
                  </div>
@ -451,83 +404,20 @@
      // Initialize char count
      charCount.textContent = textArea.value.length;
      
-      // Language selection
-      const languageOptions = document.querySelectorAll('.language-option');
+      // Voice selection
      const voiceCards = document.querySelectorAll('.voice-card');
      
-      languageOptions.forEach(option => {
-        option.addEventListener('click', function() {
-          // Unselect all language options
-          languageOptions.forEach(o => o.classList.remove('active'));
+      voiceCards.forEach(card => {
+        card.addEventListener('click', function() {
+          // Unselect all cards
+          voiceCards.forEach(c => c.classList.remove('active'));
          
-          // Select this language option
+          // Select this card
          this.classList.add('active');
          
          // Check the radio button
          const radio = this.querySelector('input[type="radio"]');
          radio.checked = true;
-          
-          // Get the selected language
-          const selectedLanguage = this.getAttribute('data-language');
-          
-          // Show/hide voice cards based on language
-          let firstVisibleCard = null;
-          
-          voiceCards.forEach(card => {
-            const cardLanguage = card.getAttribute('data-language');
-            if (cardLanguage === selectedLanguage) {
-              card.style.display = '';
-              if (!firstVisibleCard) {
-                firstVisibleCard = card;
-              }
-            } else {
-              card.style.display = 'none';
-              // If this hidden card was selected, unselect it
-              if (card.classList.contains('active')) {
-                card.classList.remove('active');
-                const cardRadio = card.querySelector('input[type="radio"]');
-                if (cardRadio) {
-                  cardRadio.checked = false;
-                }
-              }
-            }
-          });
-          
-          // If no voice card is selected for this language, select the first one
-          if (firstVisibleCard && document.querySelectorAll(`.voice-card[data-language="${selectedLanguage}"].active:not([style*="display: none"])`).length === 0) {
-            firstVisibleCard.classList.add('active');
-            const firstVisibleRadio = firstVisibleCard.querySelector('input[type="radio"]');
-            if (firstVisibleRadio) {
-              firstVisibleRadio.checked = true;
-            }
-          }
-        });
-      });
-      
-      // Voice card selection
-      voiceCards.forEach(card => {
-        card.addEventListener('click', function() {
-          // Only allow selection of cards that are visible (not display:none)
-          if (this.style.display !== 'none') {
-            // Unselect all cards with the same language
-            const cardLanguage = this.getAttribute('data-language');
-            document.querySelectorAll(`.voice-card[data-language="${cardLanguage}"]`).forEach(c => {
-              c.classList.remove('active');
-              const radio = c.querySelector('input[type="radio"]');
-              if (radio) {
-                radio.checked = false;
-              }
-            });
-            
-            // Select this card
-            this.classList.add('active');
-            
-            // Check the radio button
-            const radio = this.querySelector('input[type="radio"]');
-            if (radio) {
-              radio.checked = true;
-            }
-          }
        });
      });
      
--- a/tts_engine/init.py
+++ b/tts_engine/init.py
@ -11,7 +11,5 @@ from .inference import (
    generate_speech_from_api,
    AVAILABLE_VOICES,
    DEFAULT_VOICE,
-    VOICE_TO_LANGUAGE,
-    AVAILABLE_LANGUAGES,
    list_available_voices
 )
--- a/tts_engine/inference.py
+++ b/tts_engine/inference.py
@ -136,43 +136,10 @@ if not IS_RELOADER:
 # Parallel processing settings
 NUM_WORKERS = 4 if HIGH_END_GPU else 2

-# Define voices by language
-ENGLISH_VOICES = ["tara", "leah", "jess", "leo", "dan", "mia", "zac", "zoe"]
-FRENCH_VOICES = ["pierre", "amelie", "marie"]
-GERMAN_VOICES = ["jana", "thomas", "max"]
-KOREAN_VOICES = ["유나", "준서"]
-HINDI_VOICES = ["ऋतिका"]
-MANDARIN_VOICES = ["长乐", "白芷"]
-SPANISH_VOICES = ["javi", "sergio", "maria"]
-ITALIAN_VOICES = ["pietro", "giulia", "carlo"]
-
-# Combined list for API compatibility
-AVAILABLE_VOICES = (
-    ENGLISH_VOICES + 
-    FRENCH_VOICES + 
-    GERMAN_VOICES + 
-    KOREAN_VOICES + 
-    HINDI_VOICES + 
-    MANDARIN_VOICES + 
-    SPANISH_VOICES + 
-    ITALIAN_VOICES
-)
+# Available voices based on the Orpheus-TTS repository
+AVAILABLE_VOICES = ["tara", "leah", "jess", "leo", "dan", "mia", "zac", "zoe"]
 DEFAULT_VOICE = "tara"  # Best voice according to documentation

-# Map voices to languages for the UI
-VOICE_TO_LANGUAGE = {}
-VOICE_TO_LANGUAGE.update({voice: "english" for voice in ENGLISH_VOICES})
-VOICE_TO_LANGUAGE.update({voice: "french" for voice in FRENCH_VOICES})
-VOICE_TO_LANGUAGE.update({voice: "german" for voice in GERMAN_VOICES})
-VOICE_TO_LANGUAGE.update({voice: "korean" for voice in KOREAN_VOICES})
-VOICE_TO_LANGUAGE.update({voice: "hindi" for voice in HINDI_VOICES})
-VOICE_TO_LANGUAGE.update({voice: "mandarin" for voice in MANDARIN_VOICES})
-VOICE_TO_LANGUAGE.update({voice: "spanish" for voice in SPANISH_VOICES})
-VOICE_TO_LANGUAGE.update({voice: "italian" for voice in ITALIAN_VOICES})
-
-# Languages list for the UI
-AVAILABLE_LANGUAGES = ["english", "french", "german", "korean", "hindi", "mandarin", "spanish", "italian"]
-
 # Import the unified token handling from speechpipe
 from .speechpipe import turn_token_into_id, CUSTOM_TOKEN_PREFIX