Update app.py

app.py

@@ -2,7 +2,9 @@ import streamlit as st
 from transformers import PegasusForConditionalGeneration, PegasusTokenizer
 	
 st.title("Paraphrase with Pegasus")
-	
+st.write("Paraphrase means to express meaning using different words. Pegasus refers to a natural language processing model.")
+st.write("Write or paste text below, select a number of paraphrases and enter. The machine will attempt to produce your selected number of paraphrases.")
+
 model_name = "tuner007/pegasus_paraphrase"
 torch_device = "cpu"
 tokenizer = PegasusTokenizer.from_pretrained(model_name)
@@ -25,7 +27,7 @@ def get_response(
 
 num_beams = 10
 num_return_sequences = st.slider("Number of paraphrases", 1, 10, 5, 1)
-context = st.text_area(label="Enter a sentence to paraphrase", max_chars=384)
+context = st.text_area(label="Write or paste text", max_chars=384)
 
 with st.expander("Advanced"):
   temperature = st.slider("Temperature", 0.1, 5.0, 1.5, 0.1)