Update app.py

app.py

@@ -6,10 +6,10 @@ tokenizer = AutoTokenizer.from_pretrained("avisena/bart-base-job-info-summarizer
 model = AutoModelForSeq2SeqLM.from_pretrained("avisena/bart-base-job-info-summarizer")
 
 # Streamlit app
-st.title("Text Summarization App")
+st.title("Job Info Summarizer")
 
 # Text input
-text_input = st.text_area("Enter the text to summarize:", height=200)
+text_input = st.text_area("Enter the job info to summarize:", height=200)
 
 # Summarize button
 if st.button("Summarize"):
@@ -34,7 +34,7 @@ if st.button("Summarize"):
         summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True, max_length=512, truncation='do_not_truncate')
 
         # Display the summarized text
-        st.subheader("Summary")
+        st.subheader("Summarized Job Info")
         st.write(summary)
     else:
-        st.warning("Please enter some text to summarize.")
+        st.warning("Please enter the job info to summarize.")