Welcome to Innoquine, your AI-powered design companion transforming interior decor with the intelligence of GPT-4. 🏡✨
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. 🎨🤖
- 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. 💬
Image Question
Textual Question
Note: Response is not complete in the video as example is shown using 50 tokens.
- Python: The project is built using the Python programming language.
- Reflex Framework: Innoquine utilizes the Reflex framework for seamless and reactive web interactions.
- Clone the repository
git clone https://github.com/HeetVekariya/Innoquine.git- Make virtual environment and activate it
python -m venv venv
source venv/bin/activate- Navigate to the project directory
cd Innoquine- Install the dependencies
pip install -r {path to requirements.txt}
reflex init- Add your OpenAI GPT-4 API key to the
state.pyfile, replaceYOUR_API_KEYwith your API key.
api_key = "YOUR_API_KEY"- Adjust
max_tokensaccording to your API plan in thestate.pyfile. Minimum suggested value is100. Currently, the app is configured to use50tokens per request.
max_tokens = 100- Run the app
reflex run- You can skip step 6.
- Must have GPT-4 API key to run the app, you can create here.
This project is licensed under the MIT License - see the LICENSE file for details. 📄
- Thanks to the OpenAI team for the powerful GPT-4 model. 👏
- To get your GPT-4 API key, visit OpenAI. 🔑