Create elpis-cli.md

Add info about using the CLI example files

docs/wiki/elpis-cli.md

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+# Using the CLI Elpis Python API
+
+Requires Docker.
+
+## Prepare your data
+
+Make a local directory with
+- letter to sound file
+- your training data
+- untranscribed audio file.
+
+> See example at https://github.com/CoEDL/dev-corpora
+
+```
+~/Desktop
+    └── recordings
+       ├── letter_to_sound.txt
+       ├── transcribed
+       │       ├── 1.eaf
+       │       ├── 1.wav
+       │       ├── 2.eaf
+       │       └── 2.wav
+       └── untranscribed
+       		     └── audio.wav
+```
+
+
+## Run Elpis, train and transcribe
+
+Start Docker.
+
+Run an Elpis docker container, sharing your local recordings directory with the container.
+
+```
+docker run --rm -it -p 5000:5000/tcp -v ~/Desktop/recordings:/recordings --entrypoint /bin/bash coedl/elpis:0.94.0
+```
+
+
+In the container, run the Python training script. it will look in the folder you gave, and train a system based on the audio and text files it finds. We have a demo script you can try. Base your own training script on this example.
+
+```
+python examples/cli/elan/train.py
+```
+
+
+Use the trained model to transcribe some audio.
+
+```
+python examples/cli/transcribe.py
+```
+
+
+
+## Notes
+
+If you are developing Elpis, you can also mount a local copy of Elpis into the contianer. See the wiki for more deluxe method of developing with VS Code.
+
+```
+docker run --rm -it -p 5000:5000/tcp -v ~/sandbox/elpis:/elpis -v ~/sandbox/elpis-gui:/elpis-gui -v ~/Desktop/recordings:/recordings  --entrypoint /bin/bash coedl/elpis:0.94.0
+```
+
+
+Prepare for using the CLI. This installs Elpis as an operating system site package. Do this in the Docker container. 
+
+```
+python3 -m venv venv
+source venv/bin/activate
+python setup.py develop
+```
+
+