Add fixed Dockerfile using python:3.10 base image

Dockerfile

@@ -1,61 +1,47 @@
-# Use NVIDIA CUDA base image optimized for A10G
-FROM nvidia/cuda:11.8-devel-ubuntu20.04
+# Use standard Python image - compatible with HF Spaces
+FROM python:3.10
 
 # Set environment variables
-ENV DEBIAN_FRONTEND=noninteractive
 ENV PYTHONUNBUFFERED=1
-ENV CUDA_VISIBLE_DEVICES=0
+ENV DEBIAN_FRONTEND=noninteractive
 
 # Install system dependencies
 RUN apt-get update && apt-get install -y \
-    python3.9 \
-    python3.9-dev \
-    python3-pip \
     git \
-    wget \
     curl \
     build-essential \
     cmake \
     && rm -rf /var/lib/apt/lists/*
 
-# Set Python 3.9 as default
-RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.9 1
-RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 1
-
 # Upgrade pip
-RUN python -m pip install --upgrade pip
+RUN pip install --upgrade pip
 
 # Set working directory
 WORKDIR /app
 
-# Copy requirements first for better caching
+# Copy requirements
 COPY requirements.txt .
 
-# Install Python dependencies with CUDA support
-RUN pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
+# Install PyTorch with CUDA support
+RUN pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
 
 # Install llama-cpp-python with CUDA support
 ENV CMAKE_ARGS="-DLLAMA_CUBLAS=on"
-ENV FORCE_CMAKE=1
 RUN pip install llama-cpp-python --force-reinstall --no-cache-dir
 
 # Install other requirements
 RUN pip install -r requirements.txt
 
-# Copy application code
+# Copy application files
 COPY app.py .
 COPY README.md .
 
-# Create cache directory for Hugging Face
-RUN mkdir -p /app/.cache
-ENV HF_HOME=/app/.cache
+# Create HF cache directory
+RUN mkdir -p /.cache
+ENV HF_HOME=/.cache
 
 # Expose port
 EXPOSE 7860
 
-# Health check
-HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
-    CMD curl -f http://localhost:7860/health || exit 1
-
 # Run the application
 CMD ["python", "app.py"]