Update app.py

app.py

@@ -74,7 +74,9 @@ def extract_and_embed_text(pdf_file):
                 docs.append(chunk)
                 tokenized_texts.append(chunk.split())
 
-        embeddings = embedding_model.encode(docs, batch_size=64, convert_to_numpy=True, normalize_embeddings=True)
+        embedding_model = SentenceTransformer("baconnier/Finance2_embedding_small_en-V1.5")
+        embedding_model.to(torch.device(device))
+
 
         embedding_dim = embeddings.shape[1]
         index = faiss.IndexHNSWFlat(embedding_dim, 32)