Update app.py

app.py

@@ -19,14 +19,14 @@ chroma_collection = db.get_or_create_collection("pomoc_ukrainie")
 vector_store = ChromaVectorStore(chroma_collection=chroma_collection)
 embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-small-en-v1.5", device="cpu")
 
-# Utwórz pipeline do przetwarzania dokumentów
-# pipeline = IngestionPipeline(
-#     transformations=[
-#         SentenceSplitter(),
-#         embed_model,
-#     ],
-#     vector_store=vector_store
-# )
+Utwórz pipeline do przetwarzania dokumentów
+pipeline = IngestionPipeline(
+    transformations=[
+        SentenceSplitter(),
+        embed_model,
+    ],
+    vector_store=vector_store
+)
 
 # Utwórz indeks
 index = VectorStoreIndex.from_vector_store(vector_store, embed_model=embed_model)