parse answer into dict

app.py

@@ -50,23 +50,22 @@ if st.button('Run QA inference (get answer prediction)'):
         payload = json.dumps(inputs)
         prediction = req.request(QA_METHOD, QA_URL, data=payload)
         answer = json.loads(prediction.content.decode("utf-8"))
-        #>>> answer structure:
-        #{
-        #  "score": 0.24088488519191742,
-        #  "start": 3595,
-        #  "end": 3602,
-        #  "answer": "over 70"
-        #}
-        
+        # >>> answer structure:
+        # {
+        #   "score": 0.24088488519191742,
+        #   "start": 3595,
+        #   "end": 3602,
+        #   "answer": "over 70"
+        # }
         answer_dict = dict(answer)
-        st.write(answer_dict)
+        # st.write(answer_dict)
         answer_span = answer_dict["answer"]
-        #answer_score = answer["score"]
+        answer_score = answer_dict["score"]
         st.write(f'Answer: **{answer_span}**')
-        #start_par = max(0, answer["start"]-86)
-        #stop_para = min(answer["end"]+90, len(paragraph))
-        #answer_context = paragraph[start_par:stop_para].replace(answer_span, f'**{answer_span}**')
-        #st.write(f'Answer context (and score): ... _{answer_context}_ ... (score: {format(answer_score, ".3f")})')
+        start_par = max(0, answer_dict["start"]-86)
+        stop_para = min(answer_dict["end"]+90, len(paragraph))
+        answer_context = paragraph[start_par:stop_para].replace(answer_span, f'**{answer_span}**')
+        st.write(f'Answer context (and score): ... _{answer_context}_ ... (score: {format(answer_score, ".3f")})')
         st.write(f'Answer JSON: ')
         st.write(answer)
     else: