Update app.py

app.py

@@ -11,14 +11,14 @@ docs = splitter.split_text(str(dataset))
 
 from langchain_community.embeddings import HuggingFaceEmbeddings
 embedding_model = HuggingFaceEmbeddings(model_name="all-MiniLM-L6-v2")
-embeddings = embedding_model.encode(docs)
+# embeddings = embedding_model.encode(docs)
 
 
 from langchain.vectorstores import Chroma
 persist_directory = 'docs/chroma/'
 vectordb = Chroma.from_documents(
     documents=docs,
-    embedding=embedding,
+    embedding=embedding_model,
     persist_directory=persist_directory
 )