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Dockerfile

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+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+    espeak-ng \
+    build-essential \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY app/ ./app/
+COPY app.py .
+
+# Create output directory
+RUN mkdir -p outputs
+
+# Set environment variables for CPU optimization
+ENV PYTHONUNBUFFERED=1
+ENV OMP_NUM_THREADS=1
+ENV MKL_NUM_THREADS=1
+ENV NUMEXPR_NUM_THREADS=1
+ENV TOKENIZERS_PARALLELISM=false
+
+# Expose port for the Gradio app
+EXPOSE 7860
+
+# Command to run the application
+CMD ["python", "app.py"]

README_detailed.md

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+# Kokoro82m TTS - CPU Optimized
+
+A fully functional Text-to-Speech application using the Kokoro82m TTS model, optimized for CPU usage on Hugging Face Spaces.
+
+## Features
+
+- All US English voices from Kokoro82m (11 female, 9 male voices)
+- CPU-optimized for efficient performance on limited resources
+- Advanced Gradio interface with intuitive controls
+- Speech speed adjustment
+- Pronunciation guide support
+- Real-time audio preview and download
+- Example presets for quick testing
+
+## Technical Details
+
+This application uses:
+- Kokoro82m TTS model (82 million parameters)
+- CPU-optimized PyTorch for inference
+- Gradio for the user interface
+- Docker for containerization
+
+## Usage
+
+1. Enter text in the input area
+2. Select a voice from the dropdown menu
+3. Adjust speech speed if desired
+4. Click "Generate Speech" to create audio
+5. Listen to the generated speech and download if needed
+
+## Voice Options
+
+### Female Voices
+- Heart (Best Quality)
+- Bella (High Quality)
+- Nicole
+- Kore
+- Sarah
+- Aoede
+- Alloy
+- Nova
+- Sky
+- River
+- Jessica
+
+### Male Voices
+- Fenrir
+- Michael
+- Puck
+- Echo
+- Eric
+- Liam
+- Onyx
+- Adam
+- Santa
+
+## Development
+
+This application is designed to run efficiently on CPU-only environments, making it suitable for deployment on Hugging Face's free tier Spaces.
+
+## License
+
+This project uses the Kokoro82m model which is available under the Apache 2.0 license.

app.py

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+import os
+import sys
+
+# Import directly from the app directory
+from app.app import demo
+
+# Launch the app
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+kokoro>=0.9.4
+soundfile
+gradio
+torch --index-url https://download.pytorch.org/whl/cpu
+numpy