Create app.py

app.py

@@ -0,0 +1,36 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load summarization pipeline
+summarizer = pipeline(task="summarization", model="facebook/bart-large-cnn")
+
+
+def summarize(text: str, min_len: int, max_len:int) -> str:
+    summary = summarizer(text,
+                     min_length=min_len,
+                     max_length=max_len)
+    return summary[0]['summary_text']
+
+
+# Streamlit app
+st.title("Text Summarizer")
+
+# Input text
+text_input = st.text_area("Enter the text you want to summarize:")
+
+# Slider for minimum summary length
+min_length = st.slider("Minimum summary length:", 10, 100, 30)
+
+# Slider for maximum summary length
+max_length = st.slider("Maximum summary length:", 50, 200, 100)
+
+# Button to summarize text
+if st.button("Summarize") and text_input:
+    summary = summarize_text(text_input, min_length, max_length)
+    st.subheader("Summary:")
+    st.write(summary)
+    
+if st.button("Summarize") and not text_input:
+    st.write("Please enter text to summarize.")
+
+