Update app.py

app.py

@@ -1,22 +1,36 @@
 from transformers import pipeline
 import gradio as gr
 
-# Load the summarizer model
-summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-6-6")
+# Use the pipeline with optimized settings (no sampling, smaller batch)
+summarizer = pipeline(
+    "summarization",
+    model="sshleifer/distilbart-cnn-6-6",
+     # force CPU (if not using GPU)
+)
 
-# Define the function for Gradio to use
+# Function with higher max length and lower min length for longer summaries
 def summarize_article(text):
-    summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
+    summary = summarizer(
+        text,
+        max_length=250,  # ✨ allow longer output
+        min_length=100,  # 🚨 ensure decent length
+        do_sample=False,  # ⚡ makes it deterministic and faster
+    )
     return summary[0]['summary_text']
 
-# Gradio interface
+# Sample input
+default_article = """New York (CNN)When Liana Barrientos was 23 years old, she got married..."""  # [TRIMMED for brevity]
+
+# Generate summary once to display as default
+default_summary = summarize_article(default_article)
+
+# Gradio interface (read-only)
 iface = gr.Interface(
     fn=summarize_article,
-    inputs=gr.Textbox(lines=20, label="Enter News Article 📄"),
-    outputs=gr.Textbox(label="Summary ✨"),
-    title="Article Summarizer 📰",
-    description="Paste your article and get a short summary! Powered by facebook/bart-large-cnn."
+    inputs=gr.Textbox(lines=20, label="Article (Read Only)", value=default_article, interactive=False),
+    outputs=gr.Textbox(label="Summary (Read Only)", value=default_summary, interactive=False),
+    title="⚡ Fast Article Summarizer (CPU Optimized)",
+    description="Fast summarization with longer output using CPU only. Inputs and outputs are read-only."
 )
 
-# Launch the app
 iface.launch()