Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import BartTokenizer, BartForConditionalGeneration
+
+model_name = "facebook/bart-large-cnn"
+tokenizer = BartTokenizer.from_pretrained(model_name)
+model = BartForConditionalGeneration.from_pretrained(model_name)
+
+def summarize_text(text):
+    inputs = tokenizer([text], max_length=1024, return_tensors="pt", truncation=True)
+    summary_ids = model.generate(inputs["input_ids"], num_beams=4, max_length=128, early_stopping=True)
+    summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
+    return summary
+
+iface = gr.Interface(
+    fn=summarize_text,
+    inputs="text",
+    outputs="text",
+    title="BART Summarizer",
+    description="Enter text to get a summary using Facebook BART."
+)
+
+if __name__ == "__main__":
+    iface.launch()