README

GRDN AI 🌱
author: Danielle Heymann
contact: dheymann314@gmail.com
last updated: 12/31/2023

GRDN AI is an application that allows users to optimize a garden and its plant beds through companion planting, generative AI, and optimization. It is a work in progress.

Note: this is in beta and is in experimentation mode.
try out the beta app on HuggingFace: https://huggingface.co/spaces/danidanidani/GRDN.AI.3

Background

info

Tech Stack

Setup

• setup conda environment

  conda create --name=GRDN_env

• install dependencies

  pip install -r requirements.txt

• download local models and add them to model folder

  I used LLama2 7B HF Chat model and DeciLM 7B instruct model
  https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF/blob/main/llama-2-7b-chat.Q4_K_M.gguf
  https://huggingface.co/Deci/DeciLM-7B-instruct-GGUF/tree/main
  

Running App

• navigate to ...GRDN/src
• activate environment

  conda activate GRDN_env

• run app

  python -m streamlit run app.py

Software, data, and libraries used

Libraries and Software

• Python
• streamlit
• openai
• plotly
• pandas
• numpy
• PIL
• langchain
• streamlit_chat
• github copilot
• Llama2
• Deci AI
• HuggingFace
• LlamaIndex
• chatGPT
• GPT family of models
• DALL·E 3 (in preprocessing script for image generation)

Data sources in addition to what GPT was trained on: https://waldenlabs.com/the-ultimate-companion-planting-guide-chart/

avatars from: https://www.flaticon.com/free-icons/bot

Citing this project

If you use GRDN AI code or ideas in your project or research, please cite it as follows (IEEE style):
D. Heymann, "GRDN AI: Companion Planting Optimization App," 2024. [Online]. Available: https://github.com/4dh/GRDN, https://huggingface.co/spaces/danidanidani/GRDN.AI.3. [Accessed: Day-Month-Year].

Related Blog post on Medium

I wrote a blog that dives into some of the core tech: https://medium.com/@dheymann314/ai-infused-optimization-in-the-wild-developing-a-companion-planting-app-357e5da29d10