Update app.py

app.py

@@ -9,11 +9,13 @@ dante = pipeline('text-generation',model='.', tokenizer='GroNLP/gpt2-small-itali
 title = "Dante's style text generation"
 description = """
 Play with Dante's style text generation. Base model is gpt-2-small-italian, fine-tuned on Dante Alighieri's corpus. 
+"""
+examples = ["Io mi volsi ", "Quand'anche ch'io volli "]
 
 def get_text(input):
 	generated = dante(input, max_length=128)[0]['generated_text']
 	generated = grammatical_cleaning(generated)
 	return generated
 
-iface = gr.Interface(fn=get_text, inputs="text", outputs="text",examples=sample_text, description=description)
+iface = gr.Interface(fn=get_text, inputs="text", outputs="text",title=title, examples=sample_text, description=description)
 iface.launch()