Update app.py

app.py

@@ -78,17 +78,19 @@ qa_chat_prompt = ChatPromptTemplate.from_messages(
 llm_model = "deepset/roberta-base-squad2"
 from transformers import AutoTokenizer
 tokenizer = AutoTokenizer.from_pretrained(llm_model)
-
+question = "How can I reverse diabetes?"
 print("check2")
 pipe = pipeline(model = llm_model, tokenizer = tokenizer, task = "question-answering", temperature=0.2)
 #"question-answering", "conversational"
 
 print("check3")
-chain = pipe(qa_chat_prompt,retriever) 
+chain = pipe(question = question,context = retriever) 
+#(question = question, context = context)
 print("check3A")
 import gradio as gr
 #ragdemo = gr.load("models/HuggingFaceH4/zephyr-7b-beta")
 ragdemo = gr.Interface.from_pipeline(chain)
+print(chain)
 print("check4")
 ragdemo.launch()
 print("check5")