Initial commit: Kokoro TTS app with Railway deployment support

.dockerignore

@@ -0,0 +1,16 @@
+venv/
+__pycache__/
+*.pyc
+*.pyo
+*.pyd
+.Python
+.env
+.git
+.gitignore
+.vscode
+.idea
+*.log
+*.swp
+*.swo
+*~
+.DS_Store

.gitignore

@@ -0,0 +1,13 @@
+venv/
+__pycache__/
+*.pyc
+*.pyo
+*.pyd
+.Python
+.env
+*.log
+*.swp
+*.swo
+*~
+.DS_Store
+.cache/

Dockerfile

@@ -0,0 +1,35 @@
+# Use Python 3.11 slim image
+FROM python:3.11-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    espeak-ng \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements file
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt
+
+# Copy application files
+COPY app.py .
+COPY en.txt .
+COPY frankenstein5k.md .
+COPY gatsby5k.md .
+COPY README.md .
+
+# Expose port (Railway will override PORT env var)
+EXPOSE 7860
+
+# Set environment variables
+ENV PYTHONUNBUFFERED=1
+ENV GRADIO_SERVER_NAME=0.0.0.0
+
+# Run the application
+CMD ["python", "app.py"]

app.py

@@ -1,4 +1,17 @@
-import spaces
+# Handle spaces dependency for localhost
+try:
+    import spaces
+    SPACES_AVAILABLE = True
+except ImportError:
+    # Mock spaces for localhost
+    class spaces:
+        class GPU:
+            def __init__(self, duration=None):
+                pass
+            def __call__(self, func):
+                return func
+    SPACES_AVAILABLE = False
+
 from kokoro import KModel, KPipeline
 import gradio as gr
 import os
@@ -8,9 +21,12 @@ import torch
 IS_DUPLICATE = not os.getenv('SPACE_ID', '').startswith('hexgrad/')
 CUDA_AVAILABLE = torch.cuda.is_available()
 if not IS_DUPLICATE:
-    import kokoro
-    import misaki
-    print('DEBUG', kokoro.__version__, CUDA_AVAILABLE, misaki.__version__)
+    try:
+        import kokoro
+        import misaki
+        print('DEBUG', kokoro.__version__, CUDA_AVAILABLE, misaki.__version__)
+    except ImportError:
+        print('DEBUG: kokoro/misaki version info not available')
 
 CHAR_LIMIT = None if IS_DUPLICATE else 5000
 models = {gpu: KModel().to('cuda' if gpu else 'cpu').eval() for gpu in [False] + ([True] if CUDA_AVAILABLE else [])}
@@ -199,4 +215,7 @@ with gr.Blocks() as app:
     predict_btn.click(fn=predict, inputs=[text, voice, speed], outputs=[out_audio], api_name=API_NAME)
 
 if __name__ == '__main__':
-    app.queue(api_open=API_OPEN).launch(show_api=API_OPEN, ssr_mode=True)
+    # Get port from environment variable (Railway/cloud platforms) or default to 7860
+    port = int(os.getenv('PORT', 7860))
+    # For localhost and cloud, launch with server_name 0.0.0.0 to allow access from network
+    app.queue(api_open=API_OPEN).launch(show_api=API_OPEN, ssr_mode=True, server_name='0.0.0.0', server_port=port)

railway.json

@@ -0,0 +1,12 @@
+{
+  "$schema": "https://railway.app/railway.schema.json",
+  "build": {
+    "builder": "DOCKERFILE",
+    "dockerfilePath": "Dockerfile"
+  },
+  "deploy": {
+    "startCommand": "python app.py",
+    "restartPolicyType": "ON_FAILURE",
+    "restartPolicyMaxRetries": 10
+  }
+}

requirements.txt

@@ -1 +1,4 @@
-kokoro>=0.9.4
+kokoro>=0.9.4
+gradio>=5.24.0
+torch
+numpy