Test RAG

app.py

@@ -0,0 +1,14 @@
+#Source: https://huggingface.co/facebook/rag-token-nq#usage
+
+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"]) 
+print(tokenizer.batch_decode(generated, skip_special_tokens=True)[0]) 
+
+# should give michael phelps => sounds reasonable