Update README.md

README.md

@@ -1,53 +1,48 @@
+---
+title: Text to MBTI
+emoji: 🤗
+colorFrom: yellow
+colorTo: blue
+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. 
 <img width="708" alt="Screenshot 2023-01-08 at 3 04 29 PM" src="https://user-images.githubusercontent.com/43837843/211182872-e0db4da8-9c7e-48bd-a3ec-04165baf5c7e.png">
-
 <img width="697" alt="Screenshot 2023-01-08 at 3 05 18 PM" src="https://user-images.githubusercontent.com/43837843/211182926-cd88e370-4790-40f3-a7f1-a964d09366ef.png">
-
-
 ## 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. 
 ![image](https://user-images.githubusercontent.com/43837843/211183359-ad2cf761-99a7-467f-8bb9-cdf308bc019e.png)
-
-
 ## 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
-```
+```