Load the Hungarian to English MT model at startup

app.py

@@ -8,6 +8,9 @@ if torch.cuda.is_available():
 else:
     DEVICE = "cpu"
 
+# Start downloading the Hu-En model
+model_hu_en = inseq.load_model("Helsinki-NLP/opus-mt-hu-en", "integrated_gradients")
+
 def swap_pronoun(sentence):
     if "He" in sentence:
         return sentence.replace("He", "She")
@@ -19,13 +22,11 @@ def swap_pronoun(sentence):
 def run_counterfactual(occupation):
     occupation = occupation.split(" (")[0]
 
-    model_name = f"Helsinki-NLP/opus-mt-hu-en"
-
     # "egy" means something like "a", but is used less frequently than in English.
     #source = f"Ő egy {occupation}."
     source = f"Ő {occupation}."
     
-    model = inseq.load_model(model_name, "integrated_gradients")
+    model = model_hu_en
     model.device = DEVICE
     target = model.generate(source)[0]
     #target_modified = swap_pronoun(target)