Innoquine 🌟

Welcome to Innoquine, your AI-powered design companion transforming interior decor with the intelligence of GPT-4. 🏡✨

Overview

Innoquine revolutionizes decor by leveraging GPT-4's cutting-edge capabilities. It interprets your space through images and prompts, providing personalized design suggestions for homes, offices, and more. 🎨🤖

Features

• AI-Powered Design: Innoquine uses GPT-4 to offer intelligent and creative design recommendations. 🚀
• Image Upload: Upload images of your space to receive personalized decor suggestions. 📸
• Prompt Interaction: Share prompts to guide Innoquine in understanding your design preferences. 💬

Usage

Image Question

Textual Question

Note: Response is not complete in the video as example is shown using 50 tokens.

Tech Stack

• Python: The project is built using the Python programming language.
• Reflex Framework: Innoquine utilizes the Reflex framework for seamless and reactive web interactions.

Getting Started

1. Clone the repository

git clone https://github.com/HeetVekariya/Innoquine.git

2. Make virtual environment and activate it

python -m venv venv
source venv/bin/activate

3. Navigate to the project directory

cd Innoquine

4. Install the dependencies

pip install -r {path to requirements.txt}
reflex init

5. Add your OpenAI GPT-4 API key to the state.py file, replace YOUR_API_KEY with your API key.

api_key = "YOUR_API_KEY"

6. Adjust max_tokens according to your API plan in the state.py file. Minimum suggested value is 100. Currently, the app is configured to use 50 tokens per request.

max_tokens = 100

7. Run the app

reflex run

Note:

• You can skip step 6.
• Must have GPT-4 API key to run the app, you can create here.

License

This project is licensed under the MIT License - see the LICENSE file for details. 📄

Acknowledgments

• Thanks to the OpenAI team for the powerful GPT-4 model. 👏
• To get your GPT-4 API key, visit OpenAI. 🔑

Connect with Me

• Heet Vekariya