Trying paraphrase model instead

app.py

@@ -6,7 +6,7 @@ from sklearn.decomposition import PCA
 from sentence_transformers import SentenceTransformer
 
 # Load pre-trained sentence transformer model
-model = SentenceTransformer('all-MiniLM-L6-v2')
+model = SentenceTransformer('paraphrase-multilingual-MiniLM-L12-v2')
 
 # Function to compute document embeddings and apply PCA
 # Modify the Gradio interface to accept a list of identifiers and texts