Update app.py

app.py

@@ -1,8 +1,6 @@
 import streamlit as st
 from transformers import pipeline
-from datasets import load_dataset
 
-ds = load_dataset("abisee/cnn_dailymail", "3.0.0")
 t5_sum = pipeline("summarization", model= "t5-small")
 
 # Set the title for the Streamlit app
@@ -11,7 +9,7 @@ st.title("T5 Summary Generator")
 # Text input for the user
 text = st.text_area("Enter your text: ")
 
-def generate_summaries_and_context(dataset_sample):
+def generate_text(dataset_sample):
     article = dataset_sample
     summary = summarizer(article, max_length=150, min_length=40, do_sample=False)