metadata

title: Text to MBTI
emoji: 🤗
colorFrom: yellow
colorTo: orange
sdk: streamlit
app_file: app.py
pinned: false
license: apache-2.0

Text to MBTI (Zero Shot - model)

😄 MBTI Translator (Infer you personality type based on your sentence)

Using Streamlit library, this project is implementing application with UI of following project: https://github.com/ethHong/text_mbti

About the project & Examples

Pur the sentence and click 'generate' button. Using Zero shot classification model, the app predict the most probable MBTI of yourself.

How it works?

This app uases Zero-shot classification model from Facebook.
The model uses pre-defined dictionary data which representes each of 16 personality type
It compute probability input keyword be relevant to each of the keywords mapped in dictionary of 16 personality types.

Output sample

Input: "I stayed home all day"

===

Output:

You are:  ISFP
Ratio {'E': 27.338588094108168, 'I': 72.66141190589182} {'N': 22.149243913056992, 'S': 77.85075608694301} {'T': 46.17274433748438, 'F': 53.82725566251562} {'P': 57.30466611213056, 'J': 42.69533388786944}

Input: "I'm making plans for my trip to Osaka. I'm so excited!"

===

Output:

You are:  ESTJ
Ratio {'E': 71.53464326345417, 'I': 28.46535673654582} {'N': 35.33135528913844, 'S': 64.66864471086156} {'T': 58.70273162646018, 'F': 41.29726837353982} {'P': 46.96476087995551, 'J': 53.03523912004449}

Model and requirements

Model reference: https://huggingface.co/facebook/bart-large-mnli
Environment setup:

02.20 update: Use requirements.txt to setup required libraries.

pip install -r requirements.txt

streamlit run app.py