DeepChoice

AI Shopping Super App for eCommerce

Download the dataset from Kaggle and place it in the data directory. The dataset contains product images (optional) and metadata.
Create a .env file in the root directory and set the following environment variables:
```
GROQ_API_KEY=your_groq_api_key
GOOGLE_API_KEY=your_google_api_key
```
Download the fine-tuned complaints model from the Kaggle
and place it in the complaints_model directory at the root level.

Install the required packages:
```
pip install -r requirements.txt
```
Run the uvicorn dev server:
```
uvicorn app.main:app --reload
```
It will create the embeddings in data/*.index and run the backend server on http://127.0.0.1:8000.
Run the Next.js frontend in a separate terminal:
```
cd frontend
npm install
npm run dev
```
It will run the frontend server on http://localhost:3000.
Open the frontend in your browser: http://localhost:3000