Create dockerfile for cudnn support

Dockerfile

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+FROM nvidia/cuda:12.3.2-cudnn9-devel-ubuntu22.04
+
+# Set environment variables
+ENV DEBIAN_FRONTEND=noninteractive
+ENV PYTHONUNBUFFERED=1
+ENV PYTHONDONTWRITEBYTECODE=1
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    git \
+    wget \
+    curl \
+    ca-certificates \
+    python3 \
+    python3-pip \
+    python3-dev \
+    ffmpeg \
+    libsm6 \
+    libxext6 \
+    libgl1-mesa-glx \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set working directory
+WORKDIR /app
+
+# Copy requirements.txt
+COPY requirements.txt /app/
+
+# Install Python dependencies
+RUN pip3 install --no-cache-dir --upgrade pip setuptools wheel
+RUN pip3 install --no-cache-dir -r requirements.txt
+
+# Install OpenCV with CUDA support
+RUN pip3 install --no-cache-dir opencv-python-headless opencv-contrib-python-headless
+
+# Copy application code
+COPY . /app/
+
+# Ensure script files have the right permissions
+RUN chmod +x /app/run_morphing.py
+RUN chmod +x /app/FILM.py
+
+# Set environment variables for CUDA
+ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:${LD_LIBRARY_PATH}
+ENV PATH=/usr/local/cuda/bin:${PATH}
+
+# Expose port for Streamlit
+EXPOSE 8501
+
+# Command to run the application
+CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]