Update Dockerfile to pre-download model during build

Add RUN command to execute download_model.py during container build to pre-cache the Kimi-K2-Instruct model

Dockerfile

@@ -5,32 +5,35 @@ WORKDIR /app
 # Install system dependencies
 RUN apt-get update && apt-get install -y \
     git \
-    git-lfs \
-    build-essential \
-    && rm -rf /var/lib/apt/lists/*
+        git-lfs \
+            build-essential \
+                && rm -rf /var/lib/apt/lists/*
 
-# Initialize git-lfs
-RUN git lfs install
+                # Initialize git-lfs
+                RUN git lfs install
 
-# Install Python packages
-COPY requirements.txt .
-RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir -r requirements.txt
+                # Install Python packages
+                COPY requirements.txt .
+                RUN pip install --no-cache-dir --upgrade pip && \
+                    pip install --no-cache-dir -r requirements.txt
 
-# Copy application files
-COPY . .
+                    # Copy application files
+                    COPY . .
 
-# Set up Hugging Face cache directory
-ENV HF_HOME=/app/cache
-ENV TRANSFORMERS_CACHE=/app/cache
-ENV HF_HUB_CACHE=/app/cache
+                    # Set up Hugging Face cache directory
+                    ENV HF_HOME=/app/cache
+                    ENV TRANSFORMERS_CACHE=/app/cache
+                    ENV HF_HUB_CACHE=/app/cache
 
-# Set environment variables for better performance
-ENV PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512
-ENV CUDA_VISIBLE_DEVICES=0,1,2,3
+                    # Set environment variables for better performance
+                    ENV PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512
+                    ENV CUDA_VISIBLE_DEVICES=0,1,2,3
 
-# Expose port for the application
-EXPOSE 7860
+                    # Pre-download model during build
+                    RUN python download_model.py
 
-# Run the application
-CMD ["python", "app.py"]
+                    # Expose port for the application
+                    EXPOSE 7860
+
+                    # Run the application
+                    CMD ["python", "app.py"]