Create app.py

app.py

@@ -0,0 +1,13 @@
+import streamlit as st 
+from transformers import pipeline
+from datasets import load_dataset 
+
+huggingface_dataset_name = "Samsung/samsum" 
+dataset = load_dataset(huggingface_dataset_name) 
+
+# get the topic
+topic = st.text_area("Enter text to be summarized")
+
+if topic:
+    summarizer = pipeline("summarization", model = "Suhaib-27/check")
+    st.write(summarizer)