Update app.py

app.py

@@ -1,24 +1,59 @@
 from transformers import pipeline
 import gradio as gr
 
-# Initialize summarization pipeline
+# Load summarization pipeline
 summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 
-# Function to summarize input
+# Summarization function
 def summarize_text(text):
     if not text.strip():
-        return "⚠️ Please enter some text."
+        return "⚠️ Please enter some text to summarize."
     summary = summarizer(text, max_length=130, min_length=30, do_sample=False)[0]['summary_text']
     return summary
 
-# Gradio Interface
-iface = gr.Interface(
-    fn=summarize_text,
-    inputs=gr.Textbox(lines=15, placeholder="Paste article, essay, or book paragraph here..."),
-    outputs="text",
-    title="📘 AI Text Summarizer",
-    description="Summarizes text using Hugging Face's facebook/bart-large-cnn model."
-)
+# Interface components
+title = "📘 AI Text Summarizer"
+description = """
+This AI-powered tool summarizes articles, essays, or documents using Facebook's BART Large CNN model.  
+Just paste your content, and let the AI do the rest!
+"""
 
+examples = [
+    ["India is a country with a rich cultural heritage..."],
+    ["Climate change is one of the biggest challenges faced globally..."],
+    ["The history of computing began in the early 20th century..."]
+]
+
+with gr.Blocks(css=".gradio-container {background-color: #f8f9fa;} textarea {font-size: 16px;}") as demo:
+    gr.Markdown(f"# {title}")
+    gr.Markdown(description)
+
+    with gr.Row():
+        with gr.Column():
+            input_text = gr.Textbox(
+                label="📝 Input Text",
+                placeholder="Paste your article, paragraph, or essay here...",
+                lines=15,
+                show_copy_button=True
+            )
+            submit_btn = gr.Button("✨ Summarize Now", variant="primary")
+        with gr.Column():
+            output = gr.Textbox(
+                label="📄 Summary Output",
+                lines=12,
+                interactive=False
+            )
+
+    submit_btn.click(fn=summarize_text, inputs=input_text, outputs=output)
+
+    gr.Examples(
+        examples=examples,
+        inputs=input_text,
+        outputs=output,
+        fn=summarize_text,
+        label="📌 Try with Examples"
+    )
+
+# Launch app
 if __name__ == "__main__":
-    iface.launch(server_name="0.0.0.0", server_port=7860)
+    demo.launch(server_name="0.0.0.0", server_port=7860)