Work around Transformers setting Keras to legacy

app.py

@@ -15,10 +15,10 @@ with open(model_probs_path) as f:
 nn_model_path = hf_hub_download(repo_id="tbitai/nn-enron1-spam", filename="nn-enron1-spam.keras")
 nn_model = tf.keras.models.load_model(nn_model_path)
 
-st_model = SentenceTransformer("avsolatorio/GIST-large-Embedding-v0")
 llm_model_path = hf_hub_download(repo_id="tbitai/gisty-enron1-spam", filename="gisty-enron1-spam.keras")
 llm_model = tf.keras.models.load_model(llm_model_path)
-
+# SentenceTransformer should be called after Keras models, in order to prevent it from setting Keras to legacy.
+st_model = SentenceTransformer("avsolatorio/GIST-large-Embedding-v0")
 
 # Utils for Bayes