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app.py

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+import torch
+import gradio as gr
+from transformers import pipeline
+
+# Load summarization pipeline
+model_id = "sshleifer/distilbart-cnn-12-3"
+pipe = pipeline("summarization", model=model_id)
+
+# Define summarization function
+def summarize_text_gradio(input_text):
+    if not input_text or len(input_text.strip()) < 140:
+        return "⚠️ Please enter at least 140 characters to generate a summary."
+    summary = pipe(input_text)[0]['summary_text']
+    return summary
+
+# Use Gradio Blocks for better layout control
+with gr.Blocks(theme="default") as demo:
+    gr.Markdown("# 📝 Text Summarization Web App AI")
+    gr.Markdown(
+        """
+        This WebPage allows you to summarizes long articles or texts using a pretrained transformer model.
+        Enter your text below (minimum 140 characters) and click **Submit** to generate a summary in 3 sec
+        """
+    )
+
+    with gr.Row():
+        input_box = gr.Textbox(label="Input Text", lines=15, placeholder="Paste your long text here...")
+    with gr.Row():
+        output_box = gr.Textbox(label="🧾 Summary", lines=10)
+
+    summarize_button = gr.Button("🔍 Summarize")
+
+    summarize_button.click(fn=summarize_text_gradio, inputs=input_box, outputs=output_box)
+
+    # Footer with links at the bottom
+    gr.Markdown("---")
+    gr.Markdown(
+        """
+        #### 👤 Created by Neeraj Sharma  
+        📬 [LinkedIn](https://www.linkedin.com/in/neeraj-sharma-6017b854/) | 🛠️ [GitHub](https://github.com/MissNeerajSharma)
+        """,
+        elem_id="footer",
+    )
+
+demo.launch()