| title | colorFrom | colorTo | sdk | app_port | emoji | pinned | license | app_file |
|---|---|---|---|---|---|---|---|---|
ReferenceBot: KnowledgeGPT + Azure OpenAI = <3 |
indigo |
indigo |
docker |
8501 |
💬 |
false |
mit |
knowledge_gpt/main.py |
| Build Type | Status |
|---|---|
| HF Deploy |  |
| File size check |  |
| Formatting check |  |
Follow the instructions below to run the Streamlit server locally.
Make sure you have Python ≥3.10 installed.
These instructions were tested on macOS 13.6 Ventura with ARM CPU and Python 3.10.11.
- Clone the repository:
git clone https://github.com/andreped/ReferenceBot
cd ReferenceBot- 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>"- Run the Streamlit server
streamlit run knowledge_gpt/main.pyRun the following commands to build and run the Docker image.
docker build -t reference-bot .
docker run -p 8501:8501 reference-botOpen http://localhost:8501 in your browser to access the app.
A live demonstration is hosted at Hugging Face! Click the 🤗 badge above.
We have built on-top of KnowledgeGPT to enable the tool be be used with Azure OpenAI Services. Thus, all credit should go towards the original developers.
Distributed under the MIT License. See LICENSE for more information.