Update app.py

app.py

@@ -64,7 +64,11 @@ pipe = pipeline(model = llm_model, tokenizer = tokenizer,trust_remote_code=True,
 
 question = "How can I reverse diabetes?"
 #docs1 = retriever.invoke(question)
-docs1 = retriever.invoke(get_relevant_documents)
+docs1 = retriever.invoke(question)
+
+import pandas as pd
+df = pd.DataFrame(docs1, columns=["text"])
+context =  df.to_string()
 
 print(docs1[0].page_content)
 #print(docs1)[0]['generated_text'][-1]
@@ -76,8 +80,8 @@ print("check2")
 print("result")
 
 print("check3")
-#chain = pipe(question = question,context = "Use the following information to answer the question.  docs1[0].page_content.") 
-chain = pipe(question = question,context = "Use the following information to answer the question. Diabetes can be cured by eating apples.") 
+chain = pipe(question = question,context = "Use the following information to answer the question. {context}.") 
+#chain = pipe(question = question,context = "Use the following information to answer the question. Diabetes can be cured by eating apples.") 
 
 
 print("check3A")