Add instructions for installation and change log

src/display/about.py

@@ -65,7 +65,76 @@ Examples of these vulnerabilities are shown below.
 We normalize the score of each perspective as 0-100, and these scores are the higher the better.
 
 ## Reproducibility
-To reproduce our results, checkout https://github.com/AI-secure/DecodingTrust
+Please follow the following instructions to install DecodingTrust
+
+### (Conda +) Pip
+
+For now, we suggest installing DecodingTrust by cloning our repository and install it in editable mode. This will keep the data, code, and configurations in the same place. 
+
+```bash
+git clone https://github.com/AI-secure/DecodingTrust.git && cd DecodingTrust
+pip install -e .
+```
+
+Please note that this will install PyTorch with `pip`. If your system does not have a `CUDA` version compatible with the PyTorch `pip` wheel. To install `PyTorch` with `Conda` first, as shown below.
+
+```bash
+conda create --name dt-test python=3.9 pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
+conda activate dt-test
+pip install "decoding-trust @ git+https://github.com/AI-secure/DecodingTrust.git"
+```
+
+It is also possible to install DecodingTrust as a standalone package, but you will need to clone our repository again to run it with our data.
+```bash
+conda create --name dt-test python=3.9
+conda activate dt-test
+pip install "decoding-trust @ git+https://github.com/AI-secure/DecodingTrust.git"
+```
+
+### Support for the `ppc64le` Architecture 
+
+We also support the `ppc64le` architecture of IBM Power-9 platforms. To install on this platform, please first make 
+sure you have the following `conda` channels so that we can utilize pre-built packages.
+
+```
+--add channels 'defaults'   # lowest priority
+--add channels 'https://public.dhe.ibm.com/ibmdl/export/pub/software/server/ibm-ai/conda-early-access/'
+--add channels 'https://public.dhe.ibm.com/ibmdl/export/pub/software/server/ibm-ai/conda/'
+--add channels 'https://opence.mit.edu'
+--add channels 'https://ftp.osuosl.org/pub/open-ce/current/'
+--add channels 'conda-forge'   # highest priority
+```
+
+Then, install the following pre-built packages.
+
+```bash
+mamba create --name dt-test python==3.9 pytorch=2.0.1 torchvision=0.15.2 spacy=3.5.3 scipy=1.10.1 
+fairlearn~=0.9.0 scikit-learn~=1.1.2 pandas~=2.0.3 pyarrow~=11.0.0 rust -c conda-forge
+```
+
+Finally, install DecodingTrust with `pip` as usual.
+
+### Docker / Singularity
+
+To use DecodingTrust with docker, simply pull the following docker image.
+```bash
+sudo docker pull danielz01/decoding-trust
+docker run -it \
+    -v /path/on/host:/path/in/container \
+    --gpus all \
+    decoding-trust/v1.0:latest [arg1 arg2 ...]
+```
+To use it in through singularity or apptainer container environments on HPC environments, simply run the following.
+```bash
+module load singularity  # Change it to whatever module name your singularity / apptainer environment was given
+singularity pull decoding-trust-v1.0.sif docker://danielz01/decoding-trust
+singularity exec --nv --bind /path/on/host:/path/in/container decoding-trust-v1.0.sif [arg1 arg2]
+```
+
+To run our evaluations, checkout our [tutorial](https://github.com/AI-secure/DecodingTrust/blob/main/Tutorial.md).
+
+## Change Log
+01/17/24: Add the initial version of the leaderboard
 
 """