Add new model

app.py

@@ -9,7 +9,8 @@ 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_image_embeddings_3_0**: same as `keras_300_epochs_3_0` but with image embedding as input\n
+**keras_300_epochs_3_0**: 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
@@ -21,7 +22,8 @@ http_session = requests.Session()
 @enum.unique
 class NeuralCategoryClassifierModel(enum.Enum):
     keras_2_0 = "keras-2.0"
-    keras_sota_3_0 = "keras-sota-3-0"
+    keras_image_embeddings_3_0 = "keras-image-embeddings-3-0"
+    keras_300_epochs_3_0 = "keras-300-epochs-3-0"
     keras_ingredient_ocr_3_0 = "keras-ingredient-ocr-3.0"
     keras_baseline_3_0 = "keras-baseline-3.0"
     keras_original_3_0 = "keras-original-3.0"