Update app.py

app.py

@@ -70,8 +70,8 @@ def process_text(input_text):
             # Calculate cosine similarity between the input text and the article text embeddings
                 similarity = cosine_similarity(embedding1, embedding2)[0][0]
                 if similarity > threshold:
-                    similar_articles.append({'Link': link, 'Similarity': similarity})
-        similar_articles = sorted(similar_articles, key=lambda x: x['Similarity'], reverse=True)
+                    similar_articles.append([link,similarity])
+        similar_articles = sorted(similar_articles, key=lambda x: x[1], reverse=True)
           # Adjust the threshold as needed
         return similar_articles[:5]