v1_0 full migration, captions, gpu, cpu, webui updates

api/src/core/config.py

@@ -14,7 +14,6 @@ class Settings(BaseSettings):
     output_dir_size_limit_mb: float = 500.0  # Maximum size of output directory in MB
     default_voice: str = "af_heart"
     use_gpu: bool = True  # Whether to use GPU acceleration if available
-    use_onnx: bool = False  # Whether to use ONNX runtime
     allow_local_voice_saving: bool = False  # Whether to allow saving combined voices locally
     
     # Container absolute paths

api/src/core/openai_mappings.json

@@ -1,14 +1,14 @@
 {
     "models": {
-        "tts-1": "kokoro-v0_19",
+        "tts-1": "kokoro-v1_0",
-        "tts-1-hd": "kokoro-v0_19",
+        "tts-1-hd": "kokoro-v1_0",
-        "kokoro": "kokoro-v0_19"
+        "kokoro": "kokoro-v1_0"
     },
     "voices": {
-        "alloy": "am_adam",
+        "alloy": "am_v0adam",
-        "ash": "af_nicole",
+        "ash": "af_v0nicole",
-        "coral": "bf_emma",
+        "coral": "bf_v0emma",
-        "echo": "af_bella",
+        "echo": "af_v0bella",
         "fable": "af_sarah",
         "onyx": "bm_george",
         "nova": "bf_isabella",

api/src/routers/openai_compatible.py

@@ -68,9 +68,7 @@ def get_model_name(model: str) -> str:
     base_name = _openai_mappings["models"].get(model)
     if not base_name:
         raise ValueError(f"Unsupported model: {model}")
-    # Add extension based on runtime config
+    return base_name + ".pth"
-    extension = ".onnx" if settings.use_onnx else ".pth"
-    return base_name + extension
 
 
 async def process_voices(
@@ -378,6 +376,17 @@ async def combine_voices(request: Union[str, List[str]]):
             - 400: Invalid request (wrong number of voices, voice not found)
             - 500: Server error (file system issues, combination failed)
     """
+    # Check if local voice saving is allowed
+    if not settings.allow_local_voice_saving:
+        raise HTTPException(
+            status_code=403,
+            detail={
+                "error": "permission_denied",
+                "message": "Local voice saving is disabled",
+                "type": "permission_error"
+            }
+        )
+
     try:
         # Convert input to list of voices
         if isinstance(request, str):

api/tests/test_openai_endpoints.py

@@ -29,8 +29,8 @@ def mock_openai_mappings():
     """Mock OpenAI mappings for testing."""
     with patch("api.src.routers.openai_compatible._openai_mappings", {
         "models": {
-            "tts-1": "kokoro-v0_19",
+            "tts-1": "kokoro-v1_0",
-            "tts-1-hd": "kokoro-v0_19"
+            "tts-1-hd": "kokoro-v1_0"
         },
         "voices": {
             "alloy": "am_adam",

docker/cpu/.dockerignore

@@ -0,0 +1,40 @@
+# Version control
+.git
+
+# Python
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.Python
+*.py[cod]
+*$py.class
+.pytest_cache
+.coverage
+.coveragerc
+
+# Environment
+# .env
+.venv
+env/
+venv/
+ENV/
+
+# IDE
+.idea
+.vscode
+*.swp
+*.swo
+
+# Project specific
+examples/
+Kokoro-82M/
+ui/
+tests/
+*.md
+*.txt
+!requirements.txt
+
+# Docker
+Dockerfile*
+docker-compose*

docker/cpu/Dockerfile

@@ -19,7 +19,7 @@ RUN curl -LsSf https://astral.sh/uv/install.sh | sh && \
 RUN useradd -m -u 1000 appuser
 
 # Create directories and set ownership
-RUN mkdir -p /app/api/src/voices/v1_0 && \
+RUN mkdir -p /app/api/src/models/v1_0 && \
     chown -R appuser:appuser /app
 
 USER appuser
@@ -49,19 +49,14 @@ ENV PYTHONUNBUFFERED=1 \
     UV_LINK_MODE=copy
 
 # Core settings that differ from config.py defaults
-ENV USE_GPU=false \
+ENV USE_GPU=false
-    USE_ONNX=true
 
 # Model download flags (container-specific)
-ENV DOWNLOAD_ONNX=false \
+ENV DOWNLOAD_MODEL=false
-    DOWNLOAD_PTH=false
 
-# Download models based on environment variables
+# Download model if enabled
-RUN if [ "$DOWNLOAD_ONNX" = "true" ]; then \
+RUN if [ "$DOWNLOAD_MODEL" = "true" ]; then \
-    python download_model.py --type onnx; \
+    python download_model.py --output api/src/models/v1_0; \
-    fi && \
-    if [ "$DOWNLOAD_PTH" = "true" ]; then \
-    python download_model.py --type pth; \
     fi
 
 # Run FastAPI server

docker/cpu/docker-compose.yml

@@ -1,7 +1,7 @@
 name: kokoro-tts
 services:
   kokoro-tts:
-    # image: ghcr.io/remsky/kokoro-fastapi-cpu:v0.1.0
+    # image: ghcr.io/remsky/kokoro-fastapi-cpu:v0.2.0
     build:
       context: ../..
       dockerfile: docker/cpu/Dockerfile
@@ -21,7 +21,7 @@ services:
       
   # # Gradio UI service [Comment out everything below if you don't need it]
   # gradio-ui:
-  #   image: ghcr.io/remsky/kokoro-fastapi-ui:v0.1.0
+  #   image: ghcr.io/remsky/kokoro-fastapi-ui:v0.2.0
   #   # Uncomment below (and comment out above) to build from source instead of using the released image
   #   build:
   #     context: ../../ui

docker/gpu/.dockerignore

@@ -0,0 +1,40 @@
+# Version control
+.git
+
+# Python
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.Python
+*.py[cod]
+*$py.class
+.pytest_cache
+.coverage
+.coveragerc
+
+# Environment
+# .env
+.venv
+env/
+venv/
+ENV/
+
+# IDE
+.idea
+.vscode
+*.swp
+*.swo
+
+# Project specific
+examples/
+Kokoro-82M/
+ui/
+tests/
+*.md
+*.txt
+!requirements.txt
+
+# Docker
+Dockerfile*
+docker-compose*

docker/gpu/Dockerfile

@@ -16,11 +16,9 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 # Install UV using the installer script
 RUN curl -LsSf https://astral.sh/uv/install.sh | sh && \
     mv /root/.local/bin/uv /usr/local/bin/ && \
-    mv /root/.local/bin/uvx /usr/local/bin/
+    mv /root/.local/bin/uvx /usr/local/bin/ && \
-
+    useradd -m -u 1000 appuser && \
-# Create non-root user and prepare /app in one layer
+    mkdir -p /app/api/src/models/v1_0 && \
-RUN useradd -m -u 1000 appuser && \
-    mkdir -p /app/api/src/voices/v1_0 && \
     chown -R appuser:appuser /app
 
 USER appuser
@@ -41,10 +39,6 @@ COPY --chown=appuser:appuser docker/scripts/download_model.* ./
 RUN --mount=type=cache,target=/root/.cache/uv \
     uv sync --extra gpu
 
-# Copy scripts and make them executable in a single RUN step
-COPY --chown=appuser:appuser docker/scripts/ /app/docker/scripts/
-RUN chmod +x docker/scripts/entrypoint.sh docker/scripts/download_model.sh
-
 # Set all environment variables in one go
 ENV PYTHONUNBUFFERED=1 \
     PYTHONPATH=/app:/app/api \
@@ -52,8 +46,12 @@ ENV PYTHONUNBUFFERED=1 \
     UV_LINK_MODE=copy \
     USE_GPU=true \
     USE_ONNX=false \
-    DOWNLOAD_PTH=true \
+    DOWNLOAD_MODEL=true
-    DOWNLOAD_ONNX=false
+
+# Download model if enabled
+RUN if [ "$DOWNLOAD_MODEL" = "true" ]; then \
+    python download_model.py --output api/src/models/v1_0; \
+    fi
 
 # Run FastAPI server
-CMD ["/app/docker/scripts/entrypoint.sh"]
+CMD ["uv", "run", "python", "-m", "uvicorn", "api.src.main:app", "--host", "0.0.0.0", "--port", "8880", "--log-level", "debug"]

docker/gpu/docker-compose.yml

@@ -1,7 +1,7 @@
 name: kokoro-tts
 services:
   kokoro-tts:
-    # image: ghcr.io/remsky/kokoro-fastapi-gpu:v0.1.0
+    # image: ghcr.io/remsky/kokoro-fastapi-gpu:v0.2.0
     build:
       context: ../..
       dockerfile: docker/gpu/Dockerfile
@@ -24,7 +24,7 @@ services:
 
   # # Gradio UI service
   # gradio-ui:
-  #   image: ghcr.io/remsky/kokoro-fastapi-ui:v0.1.0
+  #   image: ghcr.io/remsky/kokoro-fastapi-ui:v0.2.0
   #   # Uncomment below to build from source instead of using the released image
   #   # build:
   #     # context: ../../ui

docker/scripts/download_model.py

@@ -1,61 +1,83 @@
 #!/usr/bin/env python3
-"""Download and prepare Kokoro model for Docker build."""
+"""Download and prepare Kokoro v1.0 model."""
 
-import argparse
 import json
 import os
 import shutil
 from pathlib import Path
+from urllib.request import urlretrieve
 
-import torch
-from huggingface_hub import hf_hub_download
 from loguru import logger
 
 
-def download_model(version: str, output_dir: str) -> None:
+def verify_files(model_path: str, config_path: str) -> bool:
-    """Download model files from HuggingFace.
+    """Verify that model files exist and are valid.
+    
+    Args:
+        model_path: Path to model file
+        config_path: Path to config file
+        
+    Returns:
+        True if files exist and are valid
+    """
+    try:
+        # Check files exist
+        if not os.path.exists(model_path):
+            return False
+        if not os.path.exists(config_path):
+            return False
+            
+        # Verify config file is valid JSON
+        with open(config_path) as f:
+            config = json.load(f)
+            
+        # Check model file size (should be non-zero)
+        if os.path.getsize(model_path) == 0:
+            return False
+            
+        return True
+    except Exception:
+        return False
+
+
+def download_model(output_dir: str) -> None:
+    """Download model files from GitHub release.
     
     Args:
-        version: Model version to download
         output_dir: Directory to save model files
     """
     try:
-        logger.info(f"Downloading Kokoro model version {version}")
-        
         # Create output directory
         os.makedirs(output_dir, exist_ok=True)
         
-        # Download model files
+        # Define file paths
-        model_file = hf_hub_download(
+        model_file = "kokoro-v1_0.pth"
-            repo_id="hexgrad/Kokoro-82M",
+        config_file = "config.json"
-            filename=f"kokoro-{version}.pth"
+        model_path = os.path.join(output_dir, model_file)
-        )
+        config_path = os.path.join(output_dir, config_file)
-        config_file = hf_hub_download(
-            repo_id="hexgrad/Kokoro-82M",
-            filename="config.json"
-        )
         
-        # Copy to output directory
+        # Check if files already exist and are valid
-        shutil.copy2(model_file, os.path.join(output_dir, "model.pt"))
+        if verify_files(model_path, config_path):
-        shutil.copy2(config_file, os.path.join(output_dir, "config.json"))
+            logger.info("Model files already exist and are valid")
+            return
             
-        # Verify files
+        logger.info("Downloading Kokoro v1.0 model files")
-        model_path = os.path.join(output_dir, "model.pt")
-        config_path = os.path.join(output_dir, "config.json")
         
-        if not os.path.exists(model_path):
+        # GitHub release URLs (to be updated with v0.2.0 release)
-            raise RuntimeError(f"Model file not found: {model_path}")
+        base_url = "https://github.com/remsky/Kokoro-FastAPI/releases/download/v0.2.0"
-        if not os.path.exists(config_path):
+        model_url = f"{base_url}/{model_file}"
-            raise RuntimeError(f"Config file not found: {config_path}")
+        config_url = f"{base_url}/{config_file}"
         
-        # Load and verify model
+        # Download files
-        logger.info("Verifying model files...")
+        logger.info("Downloading model file...")
-        with open(config_path) as f:
+        urlretrieve(model_url, model_path)
-            config = json.load(f)
-        logger.info(f"Loaded config: {config}")
         
-        model = torch.load(model_path, map_location="cpu")
+        logger.info("Downloading config file...")
-        logger.info(f"Loaded model with keys: {model.keys()}")
+        urlretrieve(config_url, config_path)
+        
+        # Verify downloaded files
+        if not verify_files(model_path, config_path):
+            raise RuntimeError("Failed to verify downloaded files")
             
         logger.info(f"✓ Model files prepared in {output_dir}")
         
@@ -66,12 +88,9 @@ def download_model(version: str, output_dir: str) -> None:
 
 def main():
     """Main entry point."""
-    parser = argparse.ArgumentParser(description="Download Kokoro model for Docker build")
+    import argparse
-    parser.add_argument(
+    
-        "--version",
+    parser = argparse.ArgumentParser(description="Download Kokoro v1.0 model")
-        default="v1_0",
-        help="Model version to download"
-    )
     parser.add_argument(
         "--output",
         required=True,
@@ -79,7 +98,7 @@ def main():
     )
     
     args = parser.parse_args()
-    download_model(args.version, args.output)
+    download_model(args.output)
 
 
 if __name__ == "__main__":

docker/scripts/download_model.sh

@@ -19,21 +19,38 @@ find_project_root() {
     exit 1
 }
 
+# Function to verify files exist and are valid
+verify_files() {
+    local model_path="$1"
+    local config_path="$2"
+    
+    # Check files exist
+    if [ ! -f "$model_path" ] || [ ! -f "$config_path" ]; then
+        return 1
+    fi
+    
+    # Check files are not empty
+    if [ ! -s "$model_path" ] || [ ! -s "$config_path" ]; then
+        return 1
+    fi
+    
+    # Try to parse config.json
+    if ! jq . "$config_path" >/dev/null 2>&1; then
+        return 1
+    fi
+    
+    return 0
+}
+
 # Function to download a file
 download_file() {
     local url="$1"
-    local output_dir="$2"
+    local output_path="$2"
-    local model_type="$3"
+    local filename=$(basename "$output_path")
-    local filename=$(basename "$url")
-    
-    # Validate file extension
-    if [[ ! "$filename" =~ \.$model_type$ ]]; then
-        echo "Warning: $filename is not a .$model_type file" >&2
-        return 1
-    }
     
     echo "Downloading $filename..."
-    if curl -L "$url" -o "$output_dir/$filename"; then
+    mkdir -p "$(dirname "$output_path")"
+    if curl -L "$url" -o "$output_path"; then
         echo "Successfully downloaded $filename"
         return 0
     else
@@ -42,69 +59,49 @@ download_file() {
     fi
 }
 
-# Parse arguments
-MODEL_TYPE=""
-while [[ $# -gt 0 ]]; do
-    case $1 in
-        --type)
-            MODEL_TYPE="$2"
-            shift 2
-            ;;
-        *)
-            # If no flag specified, treat remaining args as model URLs
-            break
-            ;;
-    esac
-done
-
-# Validate model type
-if [ "$MODEL_TYPE" != "pth" ] && [ "$MODEL_TYPE" != "onnx" ]; then
-    echo "Error: Must specify model type with --type (pth or onnx)" >&2
-    exit 1
-fi
-
 # Find project root and ensure models directory exists
 PROJECT_ROOT=$(find_project_root)
 if [ $? -ne 0 ]; then
     exit 1
 fi
 
-MODELS_DIR="$PROJECT_ROOT/api/src/models"
+MODEL_DIR="$PROJECT_ROOT/api/src/models/v1_0"
-echo "Downloading models to $MODELS_DIR"
+echo "Model directory: $MODEL_DIR"
-mkdir -p "$MODELS_DIR"
+mkdir -p "$MODEL_DIR"
 
-# Default models if no arguments provided
+# Define file paths
-if [ "$MODEL_TYPE" = "pth" ]; then
+MODEL_FILE="kokoro-v1_0.pth"
-    DEFAULT_MODELS=(
+CONFIG_FILE="config.json"
-        "https://github.com/remsky/Kokoro-FastAPI/releases/download/v0.1.0/kokoro-v0_19.pth"
+MODEL_PATH="$MODEL_DIR/$MODEL_FILE"
-        "https://github.com/remsky/Kokoro-FastAPI/releases/download/v0.1.0/kokoro-v0_19-half.pth"
+CONFIG_PATH="$MODEL_DIR/$CONFIG_FILE"
-    )
+
-else
+# Check if files already exist and are valid
-    DEFAULT_MODELS=(
+if verify_files "$MODEL_PATH" "$CONFIG_PATH"; then
-        "https://github.com/remsky/Kokoro-FastAPI/releases/download/v0.1.0/kokoro-v0_19.onnx"
+    echo "Model files already exist and are valid"
-        "https://github.com/remsky/Kokoro-FastAPI/releases/download/v0.1.0/kokoro-v0_19_fp16.onnx"
+    exit 0
-    )
 fi
 
-# Use provided models or default
+# Define URLs
-if [ $# -gt 0 ]; then
+BASE_URL="https://github.com/remsky/Kokoro-FastAPI/releases/download/v0.2.0"
-    MODELS=("$@")
+MODEL_URL="$BASE_URL/$MODEL_FILE"
-else
+CONFIG_URL="$BASE_URL/$CONFIG_FILE"
-    MODELS=("${DEFAULT_MODELS[@]}")
-fi
 
-# Download all models
+# Download files
 success=true
-for model in "${MODELS[@]}"; do
-    if ! download_file "$model" "$MODELS_DIR" "$MODEL_TYPE"; then
-        success=false
-    fi
-done
 
-if [ "$success" = true ]; then
+if ! download_file "$MODEL_URL" "$MODEL_PATH"; then
-    echo "${MODEL_TYPE^^} model download complete!"
+    success=false
+fi
+
+if ! download_file "$CONFIG_URL" "$CONFIG_PATH"; then
+    success=false
+fi
+
+# Verify downloaded files
+if [ "$success" = true ] && verify_files "$MODEL_PATH" "$CONFIG_PATH"; then
+    echo "✓ Model files prepared in $MODEL_DIR"
     exit 0
 else
-    echo "Some downloads failed" >&2
+    echo "Failed to download or verify model files" >&2
     exit 1
 fi

docker/scripts/entrypoint.sh

@@ -1,12 +1,8 @@
 #!/bin/bash
 set -e
 
-if [ "$DOWNLOAD_PTH" = "true" ]; then
+if [ "$DOWNLOAD_MODEL" = "true" ]; then
-    python docker/scripts/download_model.py  --type pth
+    python docker/scripts/download_model.py --output api/src/models/v1_0
-fi
-
-if [ "$DOWNLOAD_ONNX" = "true" ]; then
-    python docker/scripts/download_model.py --type onnx
 fi
 
 exec uv run python -m uvicorn api.src.main:app --host 0.0.0.0 --port 8880 --log-level debug

examples/captioned_speech_example.py

@@ -54,7 +54,7 @@ def main():
     examples = [
         "Hello world! Welcome to the captioned speech system.",
         "The quick brown fox jumps over the lazy dog.",
-        """If you have access to a room where gasoline is stored, remember that gas vapor accumulating in a closed room will explode after a time if you leave a candle burning in the room. A good deal of evaporation, however, must occur from the gasoline tins into the air of the room. If removal of the tops of the tins does not expose enough gasoline to the air to ensure copious evaporation, you can open lightly constructed tins further with a knife, ice pick or sharpened nail file. Or puncture a tiny hole in the tank which will permit gasoline to leak out on the floor. This will greatly increase the rate of evaporation. Before you light your candle, be sure that windows are closed and the room is as air-tight as you can make it. If you can see that windows in a neighboring room are opened wide, you have a chance of setting a large fire which will not only destroy the gasoline but anything else nearby; when the gasoline explodes, the doors of the storage room will be blown open, a draft to the neighboring windows will be created which will whip up a fine conflagration"""
+        """Of course if you come to the place fresh from New York, you are deceived. Your standard of vision is all astray, You do think the place is quiet. You do imagine that Mr. Smith is asleep merely because he closes his eyes as he stands. But live in Mariposa for six months or a year and then you will begin to understand it better; the buildings get higher and higher; the Mariposa House grows more and more luxurious; McCarthy's block towers to the sky; the 'buses roar and hum to the station; the trains shriek; the traffic multiplies; the people move faster and faster; a dense crowd swirls to and fro in the post-office and the five and ten cent store—and amusements! well, now! lacrosse, baseball, excursions, dances, the Fireman's Ball every winter and the Catholic picnic every summer; and music—the town band in the park every Wednesday evening, and the Oddfellows' brass band on the street every other Friday; the Mariposa Quartette, the Salvation Army—why, after a few months' residence you begin to realize that the place is a mere mad round of gaiety."""
     ]
 
     print("Generating captioned speech for example texts...\n")

pyproject.toml

@@ -34,7 +34,6 @@ dependencies = [
     # "html2text>=2024.2.26",
     "pydub>=0.25.1",
     "matplotlib>=3.10.0",
-    "semchunk>=3.0.1",
     "mutagen>=1.47.0",
     "psutil>=6.1.1",
     "kokoro==0.7.4",
@@ -46,11 +45,11 @@ dependencies = [
 [project.optional-dependencies]
 gpu = [
     "torch==2.5.1+cu121",
-    "onnxruntime-gpu==1.20.1",
+    #"onnxruntime-gpu==1.20.1",
 ]
 cpu = [
     "torch==2.5.1",
-    "onnxruntime==1.20.1",
+    #"onnxruntime==1.20.1",
 ]
 test = [
     "pytest==8.0.0",

slim.report.json

@@ -0,0 +1,49 @@
+{
+  "document": "doc.report.command",
+  "version": "ov/command/slim/1.1",
+  "engine": "linux/amd64|ALP|x.1.42.2|29e62e7836de7b1004607c51c502537ffe1969f0|2025-01-16_07:48:54AM|x",
+  "containerized": false,
+  "host_distro": {
+    "name": "Ubuntu",
+    "version": "22.04",
+    "display_name": "Ubuntu 22.04.5 LTS"
+  },
+  "type": "slim",
+  "state": "error",
+  "target_reference": "kokoro-fastapi:latest",
+  "system": {
+    "type": "",
+    "release": "",
+    "distro": {
+      "name": "",
+      "version": "",
+      "display_name": ""
+    }
+  },
+  "source_image": {
+    "identity": {
+      "id": ""
+    },
+    "size": 0,
+    "size_human": "",
+    "create_time": "",
+    "architecture": "",
+    "container_entry": {
+      "exe_path": ""
+    }
+  },
+  "minified_image_size": 0,
+  "minified_image_size_human": "",
+  "minified_image": "",
+  "minified_image_id": "",
+  "minified_image_digest": "",
+  "minified_image_has_data": false,
+  "minified_by": 0,
+  "artifact_location": "",
+  "container_report_name": "",
+  "seccomp_profile_name": "",
+  "apparmor_profile_name": "",
+  "image_stack": null,
+  "image_created": false,
+  "image_build_engine": ""
+}

web/index.html

@@ -84,6 +84,10 @@
                         </div>
                     </div>
                     <div class="button-group">
+                        <input type="file" id="file-input" accept=".txt" style="display: none;">
+                        <button id="upload-btn" class="clear-btn">
+                            Upload Text
+                        </button>
                         <button id="clear-btn" class="clear-btn">
                             Clear Text
                         </button>

web/src/App.js

@@ -13,6 +13,8 @@ export class App {
             generateBtnText: document.querySelector('#generate-btn .btn-text'),
             generateBtnLoader: document.querySelector('#generate-btn .loader'),
             downloadBtn: document.getElementById('download-btn'),
+            fileInput: document.getElementById('file-input'),
+            uploadBtn: document.getElementById('upload-btn'),
             autoplayToggle: document.getElementById('autoplay-toggle'),
             formatSelect: document.getElementById('format-select'),
             status: document.getElementById('status'),
@@ -67,6 +69,34 @@ export class App {
             this.elements.textInput.focus();
         });
 
+        // Upload button
+        this.elements.uploadBtn.addEventListener('click', () => {
+            this.elements.fileInput.click();
+        });
+
+        // File input change
+        this.elements.fileInput.addEventListener('change', async (event) => {
+            const file = event.target.files[0];
+            if (!file) return;
+
+            if (file.size > 1024 * 1024) { // 1MB limit
+                this.showStatus('File too large. Please choose a file under 1MB', 'error');
+                return;
+            }
+
+            try {
+                const text = await file.text();
+                this.elements.textInput.value = text;
+                this.showStatus('File loaded successfully', 'success');
+            } catch (error) {
+                console.error('Error reading file:', error);
+                this.showStatus('Error reading file', 'error');
+            }
+
+            // Clear the input so the same file can be loaded again
+            this.elements.fileInput.value = '';
+        });
+
         // Handle page unload
         window.addEventListener('beforeunload', () => {
             this.audioService.cleanup();

web/src/services/VoiceService.js

@@ -50,7 +50,15 @@ export class VoiceService {
     }
 
     getSelectedVoiceString() {
-        return Array.from(this.selectedVoices.entries())
+        const entries = Array.from(this.selectedVoices.entries());
+        
+        // If only one voice with weight 1, return just the voice name
+        if (entries.length === 1 && entries[0][1] === 1) {
+            return entries[0][0];
+        }
+        
+        // Otherwise return voice(weight) format
+        return entries
             .map(([voice, weight]) => `${voice}(${weight})`)
             .join('+');
     }

web/styles/base.css

@@ -22,7 +22,8 @@ body {
     color: var(--text);
     background: radial-gradient(circle at top right,
         var(--fg-color) 0%,
-        var(--bg-color) 100%);
+        var(--bg-color) 80%);
+    background-attachment: fixed;
     min-height: 100vh;
     position: relative;
 }
@@ -42,20 +43,23 @@ body {
             transparent 1px,
             transparent 20px);
     pointer-events: none;
+    z-index: 1;
 }
 
 .sun {
     position: fixed;
-    top: 20px;
+    bottom: 40px;
-    right: 20px;
+    right: 40px;
-    width: 100px;
+    width: 80px;
-    height: 100px;
+    height: 80px;
     border-radius: 50%;
-    background: radial-gradient(circle at center,
+    background-color: rgba(99, 102, 241, 0.4);
-        rgba(99, 102, 241, 0.2) 0%,
+    box-shadow:
-        transparent 70%);
+        0 0 40px 15px rgba(213, 99, 241, 0.4),
+        0 0 80px 25px rgba(99, 102, 241, 0.3),
+        0 0 120px 35px rgba(91, 53, 228, 0.2);
     pointer-events: none;
-    z-index: 0;
+    z-index: 9999;
 }
 
 .scanline {
@@ -64,7 +68,7 @@ body {
     left: 0;
     width: 100%;
     height: 2px;
-    background: rgba(99, 102, 241, 0.1);
+    background: rgba(218, 140, 198, 0.375);
     animation: scan 4s linear infinite;
 }
 

web/styles/forms.css

@@ -34,6 +34,7 @@ textarea::placeholder {
     display: flex;
     flex-direction: column;
     gap: 1rem;
+    z-index: 1001;  /* Higher than other elements */
 }
 
 .voice-search {

web/styles/layout.css

@@ -57,4 +57,6 @@ main {
     backdrop-filter: blur(12px);
     box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1),
                 0 2px 4px -1px rgba(0, 0, 0, 0.06);
+#upload-btn {
+    display: inline-block;
 }