Update app.py

app.py

@@ -608,10 +608,7 @@ memory.save_context(
     DTC can handle a variety of e-commerce products and can generate images using in-the-wild images & references. 
     It is superior to existing zero-shot personalization methods, especially in preserving the fine-grained details of items."""}
 )
-memory.save_context(
-    inputs={"question":"what does Vit-all stand for?"},
-    outputs={"answer":"Virtual Try-All"}
-)
+
 
 memory.load_memory_variables({})
 
@@ -712,8 +709,8 @@ chain = ConversationalRetrievalChain.from_llm(
 
 
 # let's invoke the chain
-response = chain.invoke({"question":"what does Google stand for?"})
-print(response)
+#response = chain.invoke({"question":"what does Google stand for?"})
+#print(response)
 
 
 chain.memory.load_memory_variables({})
@@ -794,7 +791,7 @@ def submit_message(prompt, prompt_template, temperature, max_tokens, context_len
     
     prompt_template = prompt_templates[prompt_template]
 
-
+    completion = chain.invoke({"question":prompt})
     #chain = load_qa_chain(ChatOpenAI(temperature=temperature, max_tokens=max_tokens, model_name="gpt-3.5-turbo"), chain_type="stuff")
     #completion = chain.run(input_documents=docs, question=query)