Update app.py

app.py

@@ -45,7 +45,7 @@ def fetch_answers(question, document ):
     return top_5_query_paragraph_answer_list
 
 st.title('Document Question Answering System')
-st.text("Loading the models...")
+st.write("Loading the models...")
 my_bar = st.progress(0)
 model_name = "MaRiOrOsSi/t5-base-finetuned-question-answering"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
@@ -57,9 +57,9 @@ passage_retreival_model = CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2')
 my_bar.progress(75)
 qa_model = pipeline("question-answering",'a-ware/bart-squadv2')  
 my_bar.progress(100)
-st.text('Models Loaded')
+st.write('Models Loaded')
 
-query = st.text_area("Query", "", height=25)
+query = st.text_input("Query")
 document = st.text_area("Document Text", "", height=100)
 
 if st.button("Get Answers From Document"):