Create app.py

app.py

@@ -0,0 +1,13 @@
+import torch 
+import gradio as gr 
+
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)
+def summary(input):
+    output = text_summary(input)
+    return output[0]['summary_text']
+gr.close_all()
+demo = gr.Interface(fn=summary, inputs=[gr.Textbox(label="Input Text to Summarize", lines=6)], outputs=[gr.Textbox(label="Summarized Text", lines=4)], title="Text Summarizer", description="This Application will be used to Summarize text")
+demo.launch()