Create app.py

app.py

@@ -0,0 +1,19 @@
+from transformers import BartForConditionalGeneration, BartTokenizer
+
+model = BartForConditionalGeneration.from_pretrained('facebook/bart-large-cnn')
+tokenizer = BartTokenizer.from_pretrained('facebook/bart-large-cnn')
+
+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=200, early_stopping=True)
+    summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
+    return summary
+
+import gradio as gr
+
+interface = gr.Interface(fn=summarize_text, 
+                         inputs="text", 
+                         outputs="text",
+                         title="Text Summarization Tool",
+                         description="Enter the text you want to summarize.")
+interface.launch()