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README.md

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+---
+title: GRDN.AI.3
+emoji: 🌱
+colorFrom: green
+colorTo: blue
+sdk: streamlit
+sdk_version: "1.23.1"
+app_file: app.py
+pinned: false
+---
+
+# GRDN AI 🌱
+
+AI and optimization powered companion gardening application.
+
+## Features
+- 🤖 **GPU-Accelerated AI** - Llama 3.2-1B with Nvidia T4 support
+- 🧬 **Genetic Algorithm** - Optimizes plant bed arrangements
+- 📊 **Interactive Visualizations** - Network graphs of plant compatibility
+- 🌿 **Companion Planting** - Maximize your garden's potential
+
+## How It Works
+1. Select your plants from the comprehensive plant database
+2. Configure your garden parameters (beds, species per bed)
+3. Generate compatibility matrices
+4. Run the genetic algorithm to optimize plant groupings
+5. Get AI-powered plant care tips
+
+## Tech Stack
+- **Frontend**: Streamlit
+- **AI Model**: Llama 3.2-1B (GGUF, quantized)
+- **Optimization**: Custom genetic algorithm
+- **Visualization**: Plotly, NetworkX, streamlit-agraph
+
+Built with ❤️ for gardeners everywhere!
+

readme.md

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-# README
-<br/>
-<br/>
-<font size = "18"> GRDN 🌱</font>
-<br/>
-author: Danielle Heymann
-<br/>
-contact: dheymann314@gmail.com
-<br/>
-last updated: 12/31/2023
-<br/>
-<br/>
-GRDN 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. </font>
-<br/>
-<br/>
-Note: this is in beta and is in experimentation mode. 
-<br/>
-
-## Background
-info
-<br>
-<br>
-![app1](src/assets/GRDN_screenshot1.png)
-<br>
-<br>
-![app2](src/assets/GRDN_screenshot2.png)
-<br>
-<br>
-![app3](src/assets/GRDN_screenshot3.png)
-<br>
-<br>
-![app4](src/assets/GRDN_screenshot4.png)
-<br>
-<br>
-![app5](src/assets/GRDN_screenshot5.png)
-<br>
-<br>
-
-## Tech Stack
-![app5](src/assets/GRDN_AI_techstack.png)
-<br>
-<br>
-
-## 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 <br>
-  >https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGUF/blob/main/llama-2-7b-chat.Q4_K_M.gguf <br>
-  >https://huggingface.co/Deci/DeciLM-7B-instruct-GGUF/tree/main <br>
-
-## 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
-