Update Dockerfile

Dockerfile

@@ -2,19 +2,23 @@ FROM python:3.9-slim
 
 WORKDIR /app
 
-# Create cache directories with proper permissions
-ENV TRANSFORMERS_CACHE=/app/.cache/huggingface/hub
-RUN mkdir -p /app/.cache/huggingface/hub && \
-    chmod -R 777 /app/.cache
-
-# Install system dependencies
+# Install system dependencies including gnupg
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
     git \
     curl \
+    ca-certificates \
+    gnupg \
     espeak-ng \
+    software-properties-common \
     && rm -rf /var/lib/apt/lists/*
 
+
+# Create cache directories with proper permissions
+ENV TRANSFORMERS_CACHE=/app/.cache/huggingface/hub
+RUN mkdir -p /app/.cache/huggingface/hub && \
+    chmod -R 777 /app/.cache
+
 # Install git-lfs via direct package installation
 RUN curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash && \
     apt-get update && \
@@ -28,20 +32,23 @@ RUN git clone https://huggingface.co/hexgrad/Kokoro-82M
 COPY requirements.txt .
 COPY app/ ./app/
 
-# Install Python dependencies
-RUN pip install --no-cache-dir -r requirements.txt torch --index-url https://download.pytorch.org/whl/cpu
+# Install Python dependencies with CPU-only PyTorch
+RUN pip install --no-cache-dir -r requirements.txt \
+    && pip uninstall -y torch \
+    && pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu
 
-# Move model files
+# Move model files to the correct location
 RUN mv Kokoro-82M/* ./ && \
     rm -rf Kokoro-82M
 
-# Set environment variables
+# Set environment variables for CPU optimization
 ENV MKL_NUM_THREADS=4 \
     NUMEXPR_NUM_THREADS=4 \
     OMP_NUM_THREADS=4 \
     OPENBLAS_NUM_THREADS=4
 
+# Expose port
 EXPOSE 7860
 
-# Start with single worker to avoid model loading issues
-CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]
+# Start the application with worker configuration
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "4"]