Update Dockerfile

Dockerfile

@@ -1,47 +1,24 @@
 # SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
 
-# Use NVIDIA PyTorch container as base image
 FROM nvcr.io/nvidia/pytorch:24.10-py3
 
 # Install basic tools
-RUN apt-get update && apt-get install -y git tree ffmpeg wget
-RUN rm /bin/sh && ln -s /bin/bash /bin/sh && ln -s /lib64/libcuda.so.1 /lib64/libcuda.so
+RUN apt-get update && apt-get install -y git tree ffmpeg wget build-essential ninja-build && \
+    apt-get clean && rm -rf /var/lib/apt/lists/*
 
-# Copy the cosmos-predict1.yaml and requirements.txt files to the container
-COPY ./cosmos-predict1.yaml /cosmos-predict1.yaml
-COPY ./requirements.txt /requirements.txt
+# Fix shell and CUDA link (optional for some systems)
+RUN rm /bin/sh && ln -s /bin/bash /bin/sh && ln -s /lib64/libcuda.so.1 /lib64/libcuda.so || true
 
-# Install cosmos-predict1 dependencies. This will take a while.
-RUN echo "Installing dependencies. This will take a while..." && \
-    mkdir -p ~/miniconda3 && \
-    wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh && \
-    bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3 && \
-    rm ~/miniconda3/miniconda.sh && \
-    source ~/miniconda3/bin/activate && \
-    conda env create --file /cosmos-predict1.yaml && \
-    conda activate cosmos-predict1 && \
-    pip install --no-cache-dir -r /requirements.txt && \
-    ln -sf $CONDA_PREFIX/lib/python3.10/site-packages/nvidia/*/include/* $CONDA_PREFIX/include/ && \
-    ln -sf $CONDA_PREFIX/lib/python3.10/site-packages/nvidia/*/include/* $CONDA_PREFIX/include/python3.10 && \
-    ln -sf $CONDA_PREFIX/lib/python3.10/site-packages/triton/backends/nvidia/include/* $CONDA_PREFIX/include/ && \
-    # git clone https://github.com/NVIDIA/apex && cd apex && \
-    CUDA_HOME=$CONDA_PREFIX pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" . && \
-    pip install git+https://github.com/microsoft/MoGe.git && \
-    echo "Environment setup complete"
+# Copy files into image
+COPY cosmos-predict1.yaml /cosmos-predict1.yaml
+COPY requirements.txt /requirements.txt
+COPY app.py /app/app.py
+COPY setup_runtime.sh /setup_runtime.sh
+RUN chmod +x /setup_runtime.sh
 
-EXPOSE 7860
-# Default command
-CMD ["python", "app.py"]
+# Lightweight install to keep Hugging Face build stable
+RUN pip install --no-cache-dir gradio==4.27.0
+
+# Default command runs the heavy setup at runtime
+CMD ["/bin/bash", "/setup_runtime.sh"]