Update app.py

app.py

@@ -18,10 +18,8 @@ def calculate_similarities(sentence1, sentence2):
     tfidf_matrix = tfidf_vectorizer.fit_transform([sentence1, sentence2])
     tfidf_score = cosine_similarity(tfidf_matrix[0:1], tfidf_matrix[1:2])[0][0]
     
-    return {
-        "WordLlama Similarity": float(wordllama_score),
-        "TF-IDF Similarity": float(tfidf_score)
-    }
+    # Return two separate values instead of a dictionary
+    return float(wordllama_score), float(tfidf_score)
 
 # Extended examples with more diverse sentences
 examples = [