Update app.py

app.py

@@ -11,7 +11,15 @@ model = GPT2LMHeadModel.from_pretrained(model_name)
 def generate_blogpost(topic):
     prompt = f"Write a detailed blog post about {topic}."
     inputs = tokenizer.encode(prompt, return_tensors="pt")
-    outputs = model.generate(inputs, max_length=300, num_return_sequences=1, pad_token_id=tokenizer.eos_token_id)
+    outputs = model.generate(
+        inputs,
+        max_length=300,
+        num_return_sequences=1,
+        pad_token_id=tokenizer.eos_token_id,
+        do_sample=True,               # Enable sampling
+        temperature=0.7,              # Control the randomness of the output
+        top_p=0.9                     # Nucleus sampling
+    )
     generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return generated_text