Hugging Face's logo

Spaces:
chuanenlin
/
foodnet
Sleeping

App Files Community
foodnet
File size: 2,173 Bytes 
c9bf118
a618fc8
 
 
 
c9bf118
a618fc8
 
c9bf118
 
a618fc8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c9bf118
a618fc8
c9bf118
a618fc8
 
 
c9bf118
a618fc8
c9bf118
a618fc8
 
 
c9bf118
a618fc8
c9bf118
a618fc8
 
 
 
 
 
 
c9bf118
a618fc8
c9bf118
a618fc8
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
 
---
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