Retail-NLP-Bot
Simple NLP agents to solve everyday tasks in retail like AddressTagger. Find individual models and corresponding notebooks in each folder:
address_tagger/: Splits the input address into it's entities.meet_reduce/: [WIP] App to convert the meeting audio to 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.
