Create app.py

app.py

@@ -1,24 +1,17 @@
-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.")
+certifi==2023.7.22
+charset-normalizer==3.3.2
+filelock==3.13.1
+fsspec==2023.10.0
+huggingface-hub==0.17.3
+idna==3.4
+numpy==1.26.1
+packaging==23.2
+PyYAML==6.0.1
+regex==2023.10.3
+requests==2.31.0
+safetensors==0.4.0
+tokenizers==0.14.1
+tqdm==4.66.1
+transformers==4.35.0
+typing_extensions==4.8.0
+urllib3==2.0.7