Extended

app.py

@@ -4,12 +4,13 @@ from transformers import pipeline
 generator = pipeline('text-generation', model='gpt2')
 
 def generate(text):
-    result = generator(text, max_length=30, num_return_sequences=1)
+    result = generator(text, max_length=50, num_return_sequences=1)
     return result[0]["generated_text"]
 
 examples = [
     ["The Moon's orbit around Earth has"],
     ["The smooth Borealis basin in the Northern Hemisphere covers 40%"],
+    ["Reasearch in NLP field has bloomed in the last decade."]
 ]
 
 demo = gr.Interface(