Improved

app.py

@@ -2,14 +2,13 @@ from transformers import pipeline, set_seed
 from random import randint
 import gradio as gr
 
-generator = pipeline('text-generation', model='gpt2-medium')
+generator = pipeline('text-generation', model='gpt2')
 
-def gpt2(string, max_length):
+def gpt2(string, max_length, amount):
     set_seed(randint(randint(1000,10000),randint(50000,300000)))
-    return generator(string, max_length=max_length, num_return_sequences=1)[0]['generated_text']
-
-max_length_slider = gr.inputs.Slider(minimum=50, maximum=500, step=10, default=100, label="Maximum Length")
-
-iface = gr.Interface(fn=gpt2, inputs=["text", max_length_slider], outputs="text")
+    return '\n\n'.join([d['generated_text'] for d in generator(string, max_length=max_length, num_return_sequences=amount))
+max_length_slider = gr.inputs.Slider(minimum=10, maximum=500, step=1, default=100, label='max_length')
+amount_slider = gr.inputs.Slider(minimum=1, maximum=5, step=1, default=1, label='num_return_sequences (Amount)')
+iface = gr.Interface(fn=gpt2, inputs=['text', max_length_slider], outputs='text')
 
 iface.launch()