Update app.py

app.py

@@ -1,17 +1,25 @@
-certifi
-charset-normalizer
-filelock
-fsspec
-huggingface-hub
-idna
-numpy
-packaging
-PyYAML
-regex
-requests
-safetensors
-tokenizers
-tqdm
-transformers
-typing_extensions
-urllib3
+import streamlit as st
+from transformers import AutoTokenizer, pipeline
+
+st.title("Text Summarization App")
+
+# Initialize the summarizer
+summarizer = pipeline("summarization", model="pszemraj/led-large-book-summary")
+tokenizer = AutoTokenizer.from_pretrained("pszemraj/led-large-book-summary")
+
+# Input text area
+article = st.text_area("Enter Text to Summarize:")
+
+# Summarization button
+if st.button("Summarize"):
+    if article:
+        # Perform summarization
+        data = summarizer(article, max_length=200, min_length=180, do_sample=False)
+        summary = data[0]["summary_text"]
+
+        # Display the summary
+        st.subheader("Summary:")
+        st.write(summary)
+    else:
+        st.warning("Please enter some text to summarize.")
+