Update app.py

app.py

@@ -98,15 +98,15 @@ Settings.embed_model = HuggingFaceEmbedding(model_name=EMBED_MODEL)
 #)
 vector_store = ChromaVectorStore(chroma_collection=collection)
 index = VectorStoreIndex.from_vector_store(vector_store, embed_model=Settings.embed_model)
-#chat_engine = index.as_chat_engine(chat_mode="condense_question", verbose=True)
-query_engine = index.as_query_engine(verbose=True)
+chat_engine = index.as_chat_engine(chat_mode="condense_question", verbose=True)
+#query_engine = index.as_query_engine(verbose=True)
 
 def upload_file(filepath):
     documents = SimpleDirectoryReader(filepath).load_data()
     index = VectorStoreIndex.from_documents(documents)
     #query_engine = index.as_query_engine()
     #condense_question condense_plus_context
-    query_engine = index.as_query_engine(verbose=True)
+    chat_engine = index.as_chat_engine(verbose=True)
     return filepath
 
 def resetChat():
@@ -183,8 +183,8 @@ def rag(input_text, history, jezik): # , file):
 #        if (o_jezik!='N/A'):
 #            input_text += " - odgovori " + o_jezik + "."
 #    Settings.llm.system_prompt = system_prompt
-    response = query_engine.query(str({"role": "user", "content": system_prompt + input_text}))
-#    response = chat_engine.chat(input_text).response
+    response = chat_engine.chat(str({"role": "user", "content": system_prompt + input_text})).response
+#    response = query_engine.query(input_text)
     return response
 # gr.Textbox(label="Pitanje:", lines=6),
 # outputs=[gr.Textbox(label="Odgovor:", lines=6)],