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| title: FoodNet | |
| emoji: 🍔 | |
| colorFrom: purple | |
| colorTo: purple | |
| sdk: streamlit | |
| app_file: foodnet.py | |
| # 24-679 FoodNet Project | |
| ## Authors | |
| David Chuan-En Lin: [email protected] | |
| Mitch Fogelson: [email protected] | |
| Sunny Yang: [email protected] | |
| Shihao Xu: [email protected] | |
| ## TODO | |
| ### Must Have | |
| 1. Cooking method (How to do this?) (TBD) | |
| 2. Ingredients -> Recipe (Recipe Querey?) (Mitch) | |
| 3. Cuisine Meta Data (Where to get) (TBD) | |
| 4. Deployment on the cloud -> (David) | |
| ### Like to have | |
| 1. Images related -> | |
| * [Google Image Search API](https://pypi.org/project/Google-Images-Search/) | |
| * [OpenAI Clip](https://openai.com/api/) | |
| 2. User Studies | |
| ### Moonshot | |
| 1. Recipe Masking Prediction | |
| 2. | |
| ## Description | |
| We wanted to help students and households in the Pittsburgh to reduce their food waste. We developed a model that suggests recipes based on current leftovers availible. | |
| * Model -> Facebook's [FastText](https://radimrehurek.com/gensim/models/fasttext.html) | |
| * Dataset -> [Simplified 1M+ Recipes](https://github.com/schmidtdominik/RecipeNet) | |
| * [Dominick Schmidt Blog](https://dominikschmidt.xyz/simplified-recipes-1M/#dataset-sources) | |
| ## Try WebApp | |
| https://huggingface.co/spaces/chuanenlin/foodnet | |
| ## Quick Start | |
| 1. Clone repository | |
| ``` | |
| git clone [email protected]:chuanenlin/foodnet.git | |
| ``` | |
| 2. Move into repository | |
| ``` | |
| cd foodnet | |
| ``` | |
| (**Optional** Create conda environment) | |
| 3. Install gdown | |
| ``` | |
| pip install gdown | |
| ``` | |
| 4. Download models | |
| ``` | |
| gdown https://drive.google.com/drive/folders/1LlQpd45E71dSfC8FgvIhJjQjqxnlBC9j -O ./models --folder | |
| ``` | |
| 5. Download datasets (Optional) | |
| ``` | |
| gdown https://drive.google.com/drive/folders/18aA3BFKqzkqNz5L4N5vN6bFnp8Ch2CQV -O ./data --folder | |
| ``` | |
| 6. Install Dependencies | |
| ``` | |
| pip install -r requirements.txt | |
| ``` | |
| 7. Run code | |
| ``` | |
| streamlit run foodnet.py | |
| ``` | |
| ## Args | |
| Train new model | |
| ``` | |
| streamlit run foodnet.py -d/--dataset ['/PATH/TO/DATASET'] -t/--train True | |
| ``` | |
| Load alternative model | |
| ``` | |
| streamlit run foodnet.py --model ['/PATH/TO/MODEL'] | |
| ``` | |
| ## Requirements | |
| * python>=3.6 | |
| * gensim>=4.0.x | |
| * streamlit | |
| * gdown | |
| * nltk | |
| * pickle | |
| * matplotlib | |
| ## References | |
| TODO | |