Modifying to try to make xformers work on spaces

app.py

@@ -8,6 +8,8 @@ from haystack.components.embedders import SentenceTransformersTextEmbedder, Sent
 from haystack.components.preprocessors import DocumentSplitter
 from haystack.components.converters.txt import TextFileToDocument
 from haystack.components.preprocessors import DocumentCleaner
+from haystack_integrations.document_stores.chroma import ChromaDocumentStore
+from haystack_integrations.components.retrievers.chroma import ChromaEmbeddingRetriever
 
 from haystack.document_stores.in_memory import InMemoryDocumentStore
 from haystack.components.retrievers import InMemoryEmbeddingRetriever
@@ -51,6 +53,10 @@ indexing.connect("embedder", "writer")
 indexing.run({"sources": ["knowledge-plain.txt"]})
 
 
+# Chroma version (no support for overlaps in documents)
+# document_store = ChromaDocumentStore(persist_path="vstore_4012")
+
+
 ##################################
 ####### Answering pipeline #######
 ##################################
@@ -124,11 +130,14 @@ llm = OpenAIGenerator(
 
 router = ConditionalRouter(routes=routes)
 
-embedder = SentenceTransformersTextEmbedder(model=embedding_model)
+embedder = SentenceTransformersTextEmbedder(model=embedding_model, trust_remote_code=True)
 
 # Again: in memory for now
 retriever = InMemoryEmbeddingRetriever(document_store)
 
+# Chroma
+# retriever = ChromaEmbeddingRetriever(document_store=document_store)
+
 prompt_builder2 = PromptBuilder(template=query_prompt_template)
 
 llm2 = OpenAIGenerator(