improve app description

app.py

@@ -7,6 +7,15 @@ import requests
 import streamlit as st
 
 
+MODEL_DESCRIPTION = """
+**keras_2_0**: Current production model\n
+**keras_sota_3_0**: Best model (SOTA), trained on 300 epochs with product name, ingredients, OCR-extracted ingredients and nutriments as input\n
+**keras_ingredient_ocr_3_0**: same as `keras_sota_3_0`, but trained on less epochs\n
+**keras_baseline_3_0**: model trained with product name, ingredients and nutriments as input\n
+**keras_original_3_0**: same inputs as **keras_2_0** (product name + ingredients), but retrained\n
+**keras_product_name_only_3_0**: model with only product name as input
+"""
+
 http_session = requests.Session()
 
 @enum.unique
@@ -69,6 +78,8 @@ barcode = st.sidebar.text_input(
     "Product barcode", default_barcode
 )
 threshold = st.sidebar.number_input("Threshold", format="%f", value=0.5) or None
+
+st.sidebar.write("---\n# Model description\n" + MODEL_DESCRIPTION)
 model_names = st.multiselect(
     "Name of the model",
     [x.name for x in NeuralCategoryClassifierModel],