Vector and query engine

app.py

@@ -10,9 +10,11 @@ openai.api_key = os.environ['OpenAI_ApiKey']
 Settings.embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-small-en-v1.5")
 
 documents = SimpleDirectoryReader("data").load_data()
+index = VectorStoreIndex.from_documents(documents)
+query_engine = index.as_query_engine()
 
-def greet(name):
-    return "Hello " + name + "!!"
+def greet(question):
+    return query_engine.query(question)
 
 demo = gr.Interface(fn=greet, inputs="text", outputs="text")
 demo.launch()