Streamlit app to chat with data (RAG implementation using Orca-Mini3b, FAISS, Streamlit). Currently only *.csv type of data. You can upload any csv file and get insights out of it.

1. You need Python installed. If you don't have Python installed, install if from this link

2. Clone the repository.

git clone https://github.com/LexiestLeszek/chatwithdata.git

3. Once cloned, go inside the repository or folder.

cd chatwithdata

4. Thanks to the GPT4ALL guys, download the model file, create "model" folder in the main directory and put the model there

https://gpt4all.io/models/gguf/orca-mini-3b-gguf2-q4_0.gguf

5. Create a virtual environment and activate it.

python3 -m venv .venv && source .venv/bin/activate

6. Install the packages from the requirements.txt file.

pip install -r requirements.txt

7. Run the streamlit app.

streamlit run ch.py

After running the streamlit command, you should now be able to access the app at http:https://localhost:XXXX/. Upload the csv file and happy chatting.