This image is downloaded from internet and is not same as given in images.

{
"result": [
{
"name": "Jack Daniel's Coy Hill Barrelhouse 8 2024 Special Release Single Barrel Whiskey",
"size": 750,
"proof": 135.0,
"abv": 67.5,
"spirit_type": "Whiskey",
"brand_id": 231.0,
"popularity": 100062.0,
"image_url": "https://d1w35me0y6a2bb.cloudfront.net/newproducts/af93f8d7-8ca7-45fb-8a24-4d6da26c74e6",
"avg_msrp": 79.99,
"fair_price": 252.21,
"shelf_price": 549.99,
"total_score": 893,
"wishlist_count": 381,
"vote_count": 222,
"bar_count": 290,
"ranking": 437,
"id": 46347,
"confidence_score": 0.6705087125301361
}
]
}This is the original image that is there in baxus dataset.

This image is downloaded from internet and is not same as given in images.

{
"result": [
{
"name": "Woodford Reserve Wheat",
"size": 750,
"proof": 90.4,
"abv": 45.2,
"spirit_type": "Rye",
"brand_id": 2004.0,
"popularity": 200.0,
"image_url": "https://d1w35me0y6a2bb.cloudfront.net/newproducts/recRBs5JRVtYEoP1B",
"avg_msrp": 37.98,
"fair_price": 45.24,
"shelf_price": 37.99,
"total_score": 1094,
"wishlist_count": 81,
"vote_count": 272,
"bar_count": 741,
"ranking": 354,
"id": 1807,
"confidence_score": 0.3134232759475708
}
]
}This image is downloaded from internet and is not same as given in images.

As we have no of results 2 in this both response is shown
Matches the first left bottle

Matches the second right bottle

- As baxus image has 501 images, so I have stored it and baxus_data.csv in data but if it scales and becomes more, then make data folder in root directory and download the google sheets as csv and store it in data folder.
mkdir data- Download the csv file of baxus where data is stored.
- Then run the download_baxus_data.py
python donwload_baxus_data.pyIf data is 501 there is no need to do anything and proceed further
git clone https://github.com/Davda-James/Whiskey-Goggles.git
cd Whiskey-Goggles- Creating a python environment
python -m venv venv- Downloading requirements
pip install -r requirements.txtpython src/backend.pyNote: By default backend will run on http://127.0.0.1:8000
python src/frontend.pyNote: By default frontend will run on http://127.0.0.1:7860
Good to go, Enjoy using Whiskey Googles and do start the repo Whiskey Googles





