Update app.py

app.py

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+import torch
+import gradio as gr
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+# model_path = ("Models\models--sshleifer--distilbart-cnn-12-6\snapshots\a4f8f3ea906ed274767e9906dbaede7531d660ff")
+
+#torch_dtype - compress the model
+text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6",torch_dtype=torch.bfloat16)
+
+# text="Once upon a time, while flying through the air, a stork noticed the sparkle of a ring. It belonged to a rabbit who was getting married that day. The rabbit went inside its burrow leaving the ring outside, and the stork decided to try it on quickly without asking."
+# print(text_summary(text))
+
+def summary (input):
+    output = text_summary(input)
+    return output[0]['summary_text']
+
+gr.close_all()
+
+# demo = gr.Interface(fn=summary, inputs="text",outputs="text")
+demo = gr.Interface(fn=summary,
+                    inputs=[gr.Textbox(label="Input text to summarize",lines=6)],
+                    outputs=[gr.Textbox(label="Summarized text",lines=4)],
+                    title="@GenAILearniverse Project 1: Text Summarizer",
+                    description="THIS APPLICATION WILL BE USED TO SUMMARIZE THE TEXT")
+demo.launch()