Update app.py

app.py

@@ -1,10 +1,15 @@
 from transformers import pipeline, set_seed
 from random import randint
+import gradio as gr
+
 generator = pipeline('text-generation', model='gpt2')
 set_seed(randint(randint(1000,10000),randint(50000,300000)))
-import gradio as gr
 
-def gpt2(string):
-    return generator(string, max_length=250, num_return_sequences=1)[0]['generated_text']
-iface = gr.Interface(fn=gpt2, inputs="text", outputs="text")
+def gpt2(string, max_length):
+    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=250, label="Maximum Length")
+
+iface = gr.Interface(fn=gpt2, inputs=["text", max_length_slider], outputs="text")
+
 iface.launch()