Update README.md

README.md

@@ -42,3 +42,24 @@ summary_ids = model.generate(inputs, max_length=150, min_length=50, length_penal
 # Decode and print the summary
 summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
 print(summary)
+
+
+# Example of a random article (can replace this with any article)
+random_article = """
+Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans.
+Leading AI textbooks define the field as the study of "intelligent agents": any system that perceives its environment and takes actions that maximize its chance of achieving its goals.
+Some popular accounts use the term "artificial intelligence" to describe machines that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem-solving".
+As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect.
+A quip in Tesler's Theorem says "AI is whatever hasn't been done yet.
+"""
+
+# Tokenize the input article
+inputs = tokenizer.encode("summarize: " + random_article, return_tensors="pt", max_length=512, truncation=True)
+
+# Generate summary
+summary_ids = model.generate(inputs, max_length=150, min_length=100, length_penalty=3.0, num_beams=7, early_stopping=False)
+
+# Decode and print the summary
+summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
+print("Summary:")
+print(summary)