Upload app.py

app.py

@@ -76,7 +76,7 @@ iface = gr.Interface(
     description=description,
     examples=[
         ["luhn", 'english', 2, "URL", "https://en.wikipedia.org/wiki/Automatic_summarization"],
-        ["LSA", 'english', 1, "text", "Automatic text summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content."]
+        ["LSA", 'english', 1, "text", "Automatic text summarization is a computational process that condenses a larger text into a shorter version while retaining key information. It helps extract the most important or relevant details from the original content. There are two main approaches: extractive summarization, which selects key sentences from the text, and abstractive summarization, which generates new sentences to convey the same meaning. This technique is widely used in applications like news aggregation, document summarization, and AI-powered assistants. By reducing information overload, automatic summarization enhances readability and efficiency in processing large volumes of text."]
     ],
 )