Update app.py

app.py

@@ -1,11 +1,20 @@
 import streamlit as st
-from transformers import pipeline   
+from transformers import pipeline 
 
-pipe=pipeline("sentiment-analysis")
-t=st.text_area("Enter the Text")
-summarizer = pipeline("summarization")
-t1=st.text_area("Enter the Text for Summarization")
-if t:
-   st.write(pipe(t))
-if t1:
-   st.write(summarizer(t1))
+col1, col2 = st.columns(2)
+
+with col1:
+    x=st.button("Sentiment Analysis")
+with col2;    
+    y=st.button("Text Summarization")
+
+if x:
+    pipe=pipeline("sentiment-analysis")
+    t=st.text_area("Enter the Text")
+    st.write(pipe(t))
+if y:             
+    summarizer = pipeline("summarization", model="t5-base", tokenizer="t5-base", framework="tf")
+    t1=st.text_area("Enter the Text for Summarization")
+    st.write(summarizer(t1))
+   
+