Add application file

app.py

@@ -0,0 +1,16 @@
+import streamlit as st
+
+from transformers import RagTokenizer, RagRetriever, RagTokenForGeneration
+
+tokenizer = RagTokenizer.from_pretrained("facebook/rag-token-nq")
+retriever = RagRetriever.from_pretrained("facebook/rag-token-nq", index_name="exact", use_dummy_dataset=True)
+model = RagTokenForGeneration.from_pretrained("facebook/rag-token-nq", retriever=retriever)
+
+input_dict = tokenizer.prepare_seq2seq_batch("who holds the record in 100m freestyle", return_tensors="pt") 
+
+generated = model.generate(input_ids=input_dict["input_ids"]) 
+outstring = tokenizer.batch_decode(generated, skip_special_tokens=True)[0]
+print(outstring)
+
+st.write(outstring)
+