Delete app.py

app.py

@@ -1,31 +0,0 @@
-import streamlit as st
-from transformers import pipeline
-
-# Load model (cached)
-@st.cache_resource
-def load_summarizer():
-    summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
-    return summarizer
-
-summarizer = load_summarizer()
-
-# Streamlit UI
-st.set_page_config(page_title="Text Summarizer", layout="centered")
-st.title("📝 Text Summarizer")
-st.markdown("Enter a long piece of text, and this app will summarize it using a Hugging Face transformer model.")
-
-# Input box
-text_input = st.text_area("Enter your text here", height=300)
-
-# Button to summarize
-if st.button("Summarize"):
-    if not text_input.strip():
-        st.warning("⚠️ Please enter some text first.")
-    else:
-        with st.spinner("Summarizing..."):
-            try:
-                summary = summarizer(text_input, max_length=130, min_length=30, do_sample=False)
-                st.subheader("Summary:")
-                st.success(summary[0]['summary_text'])
-            except Exception as e:
-                st.error(f"❌ Error during summarization: {e}")