Create app.py

app.py

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+import torch
+import gradio as gr
+from gradio.themes.builder_app import output_code
+
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+# 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)
+
+# model_path = ("../Models/models--sshleifer--distilbart-cnn-12-6/snapshots/a4f8f3ea906ed274767e9906dbaede7531d660ff")
+# text_summary = pipeline("summarization", model=model_path, torch_dtype=torch.bfloat16)
+
+# text = '''Elon Reeve Musk (/ˈiːlɒn/ EE-lon; born June 28, 1971) is a businessman known for his leadership of Tesla, SpaceX, and X (formerly Twitter). Since 2025, he has been a senior advisor to United States President Donald Trump and the de facto head of the Department of Government Efficiency (DOGE). Musk is the wealthiest person in the world; as of March 2025, Forbes estimates his net worth to be US$345 billion. He was named Time magazine's Person of the Year in 2021.'''
+# 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()