Building ffmpeg with nvenc inside docker container

Hello! I’m making Dokerfile image for my python script + ffmpeg
I have docker image:

# Use the NVIDIA CUDA base image with the desired CUDA version
FROM nvidia/cuda:12.1.0-cudnn8-devel-ubuntu20.04

# Set environment variables to prevent interactive prompts during installation
ENV DEBIAN_FRONTEND=noninteractive

# Install dependencies and set timezone non-interactively
RUN apt-get update && apt-get install -y \
    tzdata \
    build-essential \
    pkg-config \
    git \
    wget \
    yasm \
    nasm \
    libx264-dev \
    libx265-dev \
    libnuma-dev \
    libvpx-dev \
    libfdk-aac-dev \
    libmp3lame-dev \
    libopus-dev \
    libass-dev \
    libfreetype6-dev \
    libfontconfig1-dev \
    python3.9 \
    python3.9-venv \
    python3.9-dev \
    curl \
    htop \
    && ln -fs /usr/share/zoneinfo/America/New_York /etc/localtime \
    && dpkg-reconfigure --frontend noninteractive tzdata \
    && rm -rf /var/lib/apt/lists/*

# Update alternatives to set python3.9 as default
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 1 \
    && update-alternatives --set python3 /usr/bin/python3.9

# Install pip for Python 3.9
RUN curl https://bootstrap.pypa.io/get-pip.py | python3.9

# Set environment variables for CUDA
ENV PATH=/usr/local/cuda/bin:${PATH}
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:${LD_LIBRARY_PATH}

# Install Jupyter and other Python dependencies
RUN pip3 install jupyter jupyterlab

# Clone FFmpeg source
RUN git clone https://github.com/FFmpeg/FFmpeg.git /ffmpeg
RUN git clone https://github.com/FFmpeg/nv-codec-headers.git /nv-codec-headers

# Install nv-codec-headers
WORKDIR /nv-codec-headers
RUN make
RUN make install

# Build FFmpeg with NVIDIA support
WORKDIR /ffmpeg
RUN ./configure \
    --prefix=/usr/local \
    --enable-cuda-nvcc \
    --enable-cuvid \
    --enable-nvenc \
    --enable-nonfree \
    --enable-libnpp \
    --extra-cflags=-I/usr/local/cuda/include \
    --extra-ldflags=-L/usr/local/cuda/lib64 \
    --enable-gpl \
    --enable-libx264 \
    --enable-libx265 \
    --enable-libvpx \
    --enable-libfdk-aac \
    --enable-libmp3lame \
    --enable-libopus \
    --enable-libass \
    --enable-libfreetype \
    --enable-libfontconfig \
    && make -j$(nproc) \
    && make install \
    && make clean

# Install TensorRT dependencies
RUN apt-get update && apt-get install -y \
    libnvinfer8 \
    libnvonnxparsers8 \
    libnvparsers8 \
    libnvinfer-plugin8 \
    && rm -rf /var/lib/apt/lists/*

# Install TensorRT Python package
RUN pip3 install nvidia-pyindex \
    && pip3 install onnxruntime-gpu \
    && pip3 install opencv-python \
    && pip3 install onnx

# Verify installation
RUN ffmpeg -version

# Expose the Jupyter Notebook port
EXPOSE 8888

# Set the working directory
WORKDIR /superres

# Set entrypoint to Jupyter lab
ENTRYPOINT ["jupyter", "lab", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root", "--NotebookApp.token=''", "--NotebookApp.iopub_data_rate_limit=1.0e10"]

And I have few problems:
1)When I run this command: ffmpeg -i test_video_720p.mp4 -c:v h264_nvenc -preset slow -b:v 5M output.mp4 I get this:


And I cant find the solution.
Also I have a problem - I can’t upload files more then 1 MB on server + my terminal works strange (I cant use arrows - I get ^]]A)