Create app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import pipeline
+
+get_completion = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
+
+def summarize(input):
+    output = get_completion(input)
+    return output[0]['summary_text']
+
+iface = gr.Interface(
+    fn=summarize,
+    inputs="text",
+    outputs="text",
+    title="Text Summarization",
+    description="Summarize input text using a pre-trained model."
+)
+
+iface.launch()