Create app.py

app.py

@@ -0,0 +1,17 @@
+import streamlit as st
+from haystack.generator.transformers import RAGenerator
+generator = RAGenerator(model_name_or_path="facebook/rag-token-nq",
+                        embed_title=False, num_beams=5)
+
+from haystack.pipeline import GenerativeQAPipeline
+pipe = GenerativeQAPipeline(generator=generator, retriever=dpr_retriever)
+
+def generate_answers(query, top_k_generator=3):
+    preds = pipe.run(query=query, top_k_generator=top_k_generator,
+                     top_k_retriever=5, filters={"item_id":["B0074BW614"]})
+    st.write(f"Question: {preds['query']} \n")
+    for idx in range(top_k_generator):
+        st.write(f"Answer {idx+1}: {preds['answers'][idx]['answer']}")
+
+query = st.textarea("Enter the Query:")
+generate_answers(query)