added wget so they download the model

Dockerfile

@@ -4,30 +4,36 @@ FROM python:3.12.8
 ENV PYTHONUNBUFFERED=1
 ENV HF_HOME=/app/.huggingface_cache
 
-# Create directories for the Hugging Face cache and the VectorDB
-RUN mkdir -p /app/.huggingface_cache /app/VectorDB
+# Create directories for the Hugging Face cache, VectorDB, and models
+RUN mkdir -p /app/.huggingface_cache /app/VectorDB /app/models
 
-# Install dependencies
+# Install dependencies including wget for downloading model files
 RUN apt-get update && apt-get install -y \
     python3-pip \
     python3-dev \
     libatlas-base-dev \
+    wget \
     && pip install --no-cache-dir --upgrade pip
 
+# Download the ONNX model file and voices file (adjust URLs if necessary)
+RUN wget -O /app/models/kokoro-v1.0.fp16-gpu.onnx https://github.com/thewh1teagle/kokoro-onnx/releases/download/model-files/kokoro-v1.0.fp16-gpu.onnx \
+    && wget -O /app/models/voices.json https://github.com/thewh1teagle/kokoro-onnx/releases/download/model-files-v1.0/voices-v1.0.bin
+
 # Set the working directory in the container
 WORKDIR /app
 
+# Copy and install Python dependencies
 COPY requirements.txt .
 RUN pip install -r requirements.txt
 
 # Copy the current directory contents into the container
 COPY . /app/
 
-# Set the appropriate permissions for the cache and vectorstore directories
-RUN chmod -R 777 /app/.huggingface_cache /app/VectorDB
+# Set appropriate permissions for the cache, vectorstore, and models directories
+RUN chmod -R 777 /app/.huggingface_cache /app/VectorDB /app/models
 
 # Expose the port the app runs on
 EXPOSE 7860
 
 # Run the application
-CMD ["python", "app.py"]
+CMD ["python", "app.py"]