create app.py with static string comparison

app.py

@@ -0,0 +1,22 @@
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+tokenizer = AutoTokenizer.from_pretrained("distilbert-base-multilingual-cased")
+model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-multilingual-cased")
+
+# example sentences
+sentence1 = "O Brasil é o maior país da América do Sul"
+sentence2 = "A Argentina é o segundo maior país da América do Sul"
+
+# tokenize the sentences
+inputs = tokenizer(sentence1, sentence2, padding=True, truncation=True, max_length=250, return_tensors="pt")
+
+# get the output logits for the sentence pair classification task
+outputs = model(**inputs).logits
+
+# calculate the softmax probabilities for the two classes (similar or dissimilar)
+probs = outputs.softmax(dim=1)
+
+# the probability of the sentences being similar is the second element of the output array
+similarity_score = probs[0][1].item()
+
+print("Similarity score:", similarity_score)