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app.py

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+import gradio as gr
+from transformers import pipeline
+
+pipe = pipeline("summarization", model="google/pegasus-multi_news")
+
+def main(in_text):
+  print(in_text)
+  answer = pipe(in_text, min_length=5, max_length=20)
+  print(answer)
+  return answer[0]["summary_text"]
+
+with gr.Blocks() as demo:
+  gr.Markdown("""# Summarization Engine!""")
+  with gr.Row():
+    with gr.Column():
+      text1 = gr.Textbox(
+            label="Input Text",
+            lines=1,
+        )
+      output = gr.Textbox(label="Output Text")
+      b1 = gr.Button("Summarize!")
+      b1.click(main, inputs=[text1], outputs=output)
+  gr.Markdown("""#### powered by [Tassle](https://bit.ly/3LXMklV)""")
+
+
+if __name__ == "__main__":
+    demo.launch(debug=True)

requirements.txt

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+gradio
+transformers
+torch
+sentencepiece