Remove HF Hub repo constants to enable model linking on hf.co

app.py

@@ -13,14 +13,14 @@ MODELS = [
     ("GISTy Enron1 spam", LLM := "gisty-enron1-spam"),
 ]
 
-model_probs_path = hf_hub_download(repo_id=f"tbitai/{BAYES}", filename="probs.json")
+model_probs_path = hf_hub_download(repo_id="tbitai/bayes-enron1-spam", filename="probs.json")
 with open(model_probs_path) as f:
     model_probs = json.load(f)
 
-nn_model_path = hf_hub_download(repo_id=f"tbitai/{NN}", filename="nn-enron1-spam.keras")
+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)
 
-llm_model_path = hf_hub_download(repo_id=f"tbitai/{LLM}", filename="gisty-enron1-spam.keras")
+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)
 # Sentence Transformers should be imported after Keras models, in order to prevent it from setting Keras to legacy.
 from sentence_transformers import SentenceTransformer