https://github.com/r100-stack/emoji-predictor

https://github.com/r100-stack/emoji-predictor

Last synced: 26 days ago
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• Host: GitHub
• URL: https://github.com/r100-stack/emoji-predictor
• Owner: r100-stack
• Created: 2020-12-03T04:01:08.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2020-12-04T04:21:00.000Z (about 4 years ago)
• Last Synced: 2025-01-01T07:08:05.070Z (26 days ago)
• Language: Python
• Size: 131 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Emoji Predictor

## Format of provided CSV/text file

The CSV/text file is formatted as (class, data)

### class

0:  Happy face

1:  Heart emoji

### data

comma separated states of the pixels.

Each pixel is 1 if selected and 0 if not.

data comprises of 1600 such pixels (40x40 board). 

### Example row

```

1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,1,1,0,1,0,1 ...

1 + 1600 values

1 for class (value 1)

1600 for data points (values 2-1601, inclusive)

```

## How to run

NOTE: A MySQL server is needed to run the scripts. Hence, for now, the best way to run tasks on the data is to use the provided CSV/text file (data.csv or data.txt).

If you have a MySQL setup and have access to our database, you can run the project scripts by following these steps:

1. Clone the repo on your local system.

```

git clone https://github.com/rohan-kadkol/Emoji-Predictor.git

```

2. Go to the terminal and cd into the project directory

```

cd Emoji-Predictor

```

3. Create a Python virtual environment

```

python -m venv env

or

python3 -m venv env

```

4. Enter into your virtual environment

```

source env/bin/activate (Linux/Mac)

env/Scripts/activate.bat (Windows)

```

4. Install the project dependencies

```

pip install -r requirements.txt

or 

pip3 install -r requirements.txt

or

pip install requirements.txt -r

or

pip3 install requirements.txt -r

```

5. Run the scripts

```

python script_xyz.py

```