whoops - embedding_function is for calling Chroma directly, embedding is

app.py

@@ -223,12 +223,12 @@ class TranscriptVectorStore:
     def create_or_read_vectorstore(self, persist_dir, rebuild=False):
         if persist_dir:
             if os.path.isdir(persist_dir) and not rebuild:
-                self.vs = Chroma(persist_directory=persist_dir, embedding_function=self.embedder)
+                self.vs = Chroma(persist_directory=persist_dir, embedding=self.embedder)
             else:
                 self.vs = Chroma.from_documents(persist_directory=persist_dir, documents=self.documents, embedding_function=self.embedder)
                 self.vs.persist()
         else:
-            self.vs = Chroma.from_documents(documents=self.documents, embedding_function=self.embedder)
+            self.vs = Chroma.from_documents(documents=self.documents, embedding=self.embedder)
 
         # cache list of speakers and times they spoke
         self.speakers={}