| title | colorFrom | colorTo | sdk | sdk_version | app_port | emoji | pinned | license | app_file |
|---|---|---|---|---|---|---|---|---|---|
ChatBot: learn about André's research through an AI assistant |
indigo |
indigo |
streamlit |
1.27.2 |
8501 |
💬 |
false |
mit |
app.py |
This application demonstrates how to setup a simple ChatBot with Azure OpenAI, llama-index, and Streamlit.
The final app is also deployed on both Streamlit and Hugging Face Spaces, as well as embedded into a personal website.
The ChatBot enables you to talk with your own data - in this case, to learn about André's research.
| Build Type | Status |
|---|---|
| HF Deploy |  |
| File size check |  |
| Linting |  |
We have enabled live hosting through both Streamlit and Hugging Face spaces. Click on the respective badges below to access each:
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.tomland fill in the relevant info:
OPENAI_API_KEY = "<insert OpenAI API key>"
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
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.
I wish to acknowledge Sopra Steria for giving me the chance to develop this web application on internal time. I also want to praise OpenAI, Microsoft Azure, and the developers of llama-index, Streamlit, and HuggingFace for making such great tools to develop applications in.
The code in this repository is released under MIT license.