metadata

title: 'ChatBot: learn about André''s research through an AI assistant'
colorFrom: indigo
colorTo: indigo
sdk: streamlit
sdk_version: 1.27.2
app_port: 8501
emoji: 💬
pinned: false
license: mit
app_file: app.py

chatbot-streamlit-demo

This application demonstrates how to setup a simple ChatBot with Azure OpenAI, llama-index, and Streamlit.

The ChatBot enables you to talk with your own data - in this case, to learn about André's research.

Demo

A demo is hosted publicly at Streamlit at https://chatbot-app-demo.streamlit.app.

A snapshot of the UI can be seen below:

Development

If you wish to play around with the app locally, it requires that you provide OpenAI API key and all that fun stuff yourself.

These instructions were tested on a MacBook Pro with M2 chip running macOS 13.6 Ventura with Python 3.9.6.

Setup virtual environment and install dependencies:

python3 -m venv venv/
source venv/bin/activate
pip install -r requirements.txt

Create the secrets file at .streamlit/secrets.toml file and fill in the relevant info:

OPENAI_API_KEY = "3cc19a1c875749c18c5e5d5a45a08f90"
CHATGPT_MODEL = "<insert model name>"
OPENAI_API_BASE = "https://<insert-openai-service-name>.openai.azure.com"
OPENAI_API_VERSION = "<insert version>"
ENGINE = "<insert deployment model name>"
ENGINE_EMBEDDING = "<insert deployment embedding name>"

Launch the app:

streamlit run app.py

A Streamlit browser window should automatically open. If not, the app can be accessed at http://localhost:8501

Disclaimer

Only public PDFs were used for this demonstration. Some of André's research is sadly behind a paywall and thus we have chosen not to include the PDFs in this demo to avoid copyright issues.

License

The code in this repository is released under MIT license.