Init app.py

app.py

@@ -0,0 +1,19 @@
+from transformers import pipeline
+import gradio as gr
+
+summarizer = pipeline("summarization", model="Afsara/fb_bart_large_cnn")
+
+def summarize(input):
+    output = summarizer(input, max_length=130, min_length=30, do_sample=False)
+    return output[0]['summary_text']
+    
+gr.close_all()
+
+demo = gr.Interface(fn=summarize, 
+                    inputs=[gr.Textbox(label="Text to summarize", lines=6)],
+                    outputs=[gr.Textbox(label="Result", lines=3)],
+                    title="Text summarization with distilbart-cnn",
+                    description="Summarize any text using the `shleifer/distilbart-cnn-12-6` model under the hood!"
+                   )
+
+demo.launch()