Retail-NLP-Bot

Simple NLP agents to solve everyday tasks in retail like AddressTagger. Find individual models and corresponding notebooks in each folder:

  • retail_bot/: Retail bot with the following items:
    • "AddressTagger"
    • "Catalog Order"
    • "Custom Order"
  • meet_reduce/: App to search through meeting notes

Files:

  • run.py: streamlit webapp for this example

Usage

Two commands and you are good to go:

# install packages
$ pip install -r requirements.txt

# run the interactive webapp
$ streamlit run run.py

  You can now view your Streamlit app in your browser.

  Local URL: http://localhost:8501
  Network URL: http://192.168.1.4:8501

If everything goes correctly, it should automatically open up a browser with the network URL. On the left you will see the build apps, select the one that you want to use.