Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import pipeline
+
+# instantiate your summarization pipeline once
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn", tokenizer="facebook/bart-large-cnn")
+
+def summarize(text, max_length=150, min_length=40):
+    # call the pipeline
+    result = summarizer(text, max_length=max_length, min_length=min_length, do_sample=False)
+    return result[0]["summary_text"]
+
+# build Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# 📝 Text Summarizer")
+    input_txt = gr.Textbox(lines=8, placeholder="Paste your article here…")
+    with gr.Row():
+        max_len = gr.Slider(50, 300, value=150, step=10, label="Max length")
+        min_len = gr.Slider(10, 100, value=40, step=5, label="Min length")
+    output_txt = gr.Textbox(lines=5, label="Summary")
+    btn = gr.Button("Summarize")
+    btn.click(fn=summarize, inputs=[input_txt, max_len, min_len], outputs=output_txt)
+
+if __name__ == "__main__":
+    demo.launch()