PrivateGPT Installation

gistfile1.txt

# Clone the repo
git clone https://github.com/imartinez/privateGPT
cd privateGPT

# Install Python 3.11
pyenv install 3.11
pyenv local 3.11

# Install dependencies
poetry install --with ui,local

# Download Embedding and LLM models
poetry run python scripts/setup

# (Optional) For Mac with Metal GPU, enable it. Check Installation and Settings section 
to know how to enable GPU on other platforms
CMAKE_ARGS="-DLLAMA_METAL=on" pip install --force-reinstall --no-cache-dir llama-cpp-python

# Run the local server  
PGPT_PROFILES=local make run

# Note: on Mac with Metal you should see a ggml_metal_add_buffer log, stating GPU is 
being used

# Navigate to the UI and try it out! 
http://localhost:8001/

When I run poetry install --with ui,local, see the following errors:
Group(s) not found: local (via --with), ui (via --with)
I would appreciate your help in resolving this issue.

@das-wu I found the solution in this question https://stackoverflow.com/questions/78149911/poetry-poetry-install-with-ui-error-groups-not-found-ui-via-with

Is there any method i can use to improve the speed of ingesting files? it is taking more than 10 minutes on a 2 MB PDF and i have a Ryzen 7 5800H

I had to install pipx, poetry, chocolatey in my windows 11.
Apart from that poetry install --with ui,local (this command didn't work out for me) all the commands worked.
Instead this command worked for me poetry install --extras "ui llms-llama-cpp vector-stores-qdrant embeddings-huggingface"

I'm doing it under WSL, follow this guide and you'll have a reasonable starting base

Did you use the same commands he ran in mac?

Is there a good tutorial for ubuntu out there? Just curious

Is there a good tutorial for ubuntu out there? Just curious

I do not have an answer to your question, but having successfully done the windows version I wonder if you can’t just follow the Linux version of that. The privategpt instructions have gotten better for windows and Linux is embedded in that. Might look at that, I know I am going to do that. As I have a container use case and Linux is a better fit for that.