Create 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 = ("../model/models--sshleifer--distilbart-cnn-12-6/"
+#               "snapshots/a4f8f3ea906ed274767e9906dbaede7531d660ff")
+
+text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6"
+                        , torch_dtype=torch.bfloat16)
+#
+# text = """
+#     Ratan Naval Tata[a] (28 December 1937 – 9 October 2024)
+#     was an Indian industrialist and philanthropist. He served as
+#     the chairman of Tata Group and Tata Sons from 1991 to 2012 and he held
+#     the position of interim chairman from October 2016 to February 2017.[3][4] In 2000,
+#     he received the Padma Bhushan, the third highest civilian honour in India,
+#     followed by the Padma Vibhushan, the country's second highest civilian honour, in 2008.[5]
+# """
+# 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 to summarize",lines = 6 )],
+                    outputs= [gr.Textbox(label = "Summarized text",lines = 6)],
+                    title="GenerativeAI Project 1 : Text summarize",
+                    description="THIS APPLICATION WILL BE USE TO SUMMARIZE THE TEXT")
+demo.launch()