Update app.py

app.py

@@ -22,12 +22,12 @@ df = pd.read_csv('dfa_pr_v5_cleaned.csv')
 # Group into 6 sentences-long parts
 partitions = df['article'].values.tolist()
 
-st.title('DFA Question Answering Model')
+st.title('DFA Press Releases - Question Answer Bot')
 
 # Type in HP-related query here
 query = st.text_area("Type in your question below:")
 
-if st.button('Searching for the answer...'):
+if st.button('Search for the answer'):
     # Perform sentence embedding on query and sentence groups
     model_embed_name = 'sentence-transformers/msmarco-distilbert-dot-v5'
     
@@ -55,9 +55,7 @@ if st.button('Searching for the answer...'):
     confidence = res.get('score')
     if confidence > 0.8:
         st.write(res.get('answer'))
-        st.write(context)
     else:
         out = "I am not sure."
         st.write(out)
-        st.write(context)
     #out = res.get('answer')