attemptint to parse answers

app.py

@@ -1,5 +1,6 @@
 import streamlit as st
 from haystack.utils import fetch_archive_from_http, clean_wiki_text, convert_files_to_docs
+from haystack.schema import Answer
 from haystack.document_stores import InMemoryDocumentStore
 from haystack.pipelines import ExtractiveQAPipeline
 from haystack.nodes import FARMReader, TfidfRetriever
@@ -27,9 +28,9 @@ load_and_write_data()
 
 def ask_question(question):
     prediction = pipeline.run(query=question, params={"Retriever": {"top_k": 10}, "Reader": {"top_k": 5}})
-    st.write(prediction['answers'][0])
-    st.write(prediction['answers'][1])
-    st.write(prediction['answers'][2])
+    st.write(Answer(prediction['answers'][0]).to_dict())
+    st.write(Answer(prediction['answers'][1]).to_dict())
+    st.write(Answer(prediction['answers'][2]).to_dict())
 
 if question:
     ask_question(question)