Add Json Parsed example

README.md

@@ -22,8 +22,15 @@ This model is based on the `naver-clova-ix/donut-base` model. The training datas
 The model could be used to detect the nutritional facts or compositions from images of food or drug packages. It is capable to create a json format of the components described in the image. However, due to lack of data, the texts in the image must be concisely upright.
 
 ### Output Example
+
+Model Output :
+```python
+'<s_kmpsi><s_komposisi><s_obat>Vitamin E</s_obat><s_takaran>30 I.U.</s_takaran><sep/><s_obat>Tiamin HCl (B1)</s_obat><s_takaran>100 mg</s_takaran><sep/><s_obat>Piridoksin HCl (B6)</s_obat><s_takaran>50 mg</s_takaran><sep/><s_obat>Sianokobalamin (B12)</s_obat><s_takaran>100 mcg</s_takaran><sep/><s_obat>K-l-aspartat</s_obat><s_takaran>100 mg</s_takaran><sep/><s_obat>Mg-l-aspartat</s_obat><s_takaran>100 mg</s_takaran></s_komposisi><s_desc></s_desc></s_kmpsi>'
+```
+
+Json Parsed Output : 
 ```python
-'<s_kmpsi><s_komposisi><s_obat>Phyllantus niruri herba extract (Meniran)</s_obat><s_takaran>150mg</s_takaran><sep/><s_obat>Blumea balsamifera folium extract (Sembung)</s_obat><s_takaran>150mg</s_takaran><sep/><s_obat>Zingiber officinale var. Rubra rhizoma extract (Jahe Merah)</s_obat><s_takaran>150mg</s_takaran><sep/><s_obat>Andrographis paniculata herba extract (Sambiloto)</s_obat><s_takaran>100mg</s_takaran></s_komposisi><s_desc>Tiap kapsul mengandung :</s_desc></s_kmpsi>'
+{'komposisi': [{'obat': 'Vitamin E', 'takaran': '30 I.U.'}, {'obat': 'Tiamin HCl (B1)', 'takaran': '100 mg'}, {'obat': 'Piridoksin HCl (B6)', 'takaran': '50 mg'}, {'obat': 'Sianokobalamin (B12)', 'takaran': '100 mcg'}, {'obat': 'K-l-aspartat', 'takaran': '100 mg'}, {'obat': 'Mg-l-aspartat', 'takaran': '100 mg'}], 'desc': ''}
 ```
 
 ### How to use