# To run the demo bot: 1. cd /opt/kaldi/egs/sevil/ 2. conda activate base 3. python ./demo/main.py There are 2 directories that are required to preprocess the data for training/inference: `cd /opt/kaldi/egs/sevil` 1. `/prepare` contains the code to download the data from s3 and preprocess it. There is users.txt file which is the id of users that are extracted from the s3. 2. `./data/local`. After the preprocess is done we need to have `corpus.txt` file, which is the collection of all possible inputs of ASR. Also we need to update `./data/local/dict/lexicon.txt` file with all the word tokens in `corpus.txt`. 3. `./exp`. The folder contains all the model/graph files.