Accurate answers and instant citations for your documents.
Upload your documents and get answers to your questions, with citations from the text.
Follow the instructions below to run the Streamlit server locally.
Make sure you have Python ≥3.10 installed.
git clone https://github.com/mmz-001/knowledge_gpt
cd knowledge_gpt
poetry install
poetry shell
.env.example
named .env
.env
fileNote: Make sure you have a paid OpenAI API key for faster completions and to avoid hitting rate limits.
cd knowledge_gpt
streamlit run main.py
Run the following commands to build and run the Docker image.
cd knowledge_gpt
docker build -t knowledge_gpt .
docker run -p 8501:8501 knowledge_gpt
Open http://localhost:8501 in your browser to access the app.
You can increase the max upload file size by changing maxUploadSize
in .streamlit/config.toml
.
Currently, the max upload size is 25MB for the hosted version.
All contributions are welcome!
Big thanks to the following people for their contributions!
Distributed under the MIT License. See LICENSE for more information.