Update app.py

app.py

@@ -1,13 +1,11 @@
-from transformers import GPT2Tokenizer, GPT2Model
-tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
-model = GPT2Model.from_pretrained('gpt2')
+from transformers import pipeline, set_seed
+from random import seed, choice
+generator = pipeline('text-generation', model='gpt2')
+set_seed(seed())
 import gradio as gr
 
 def gpt2(string):
-    text = string
-    encoded_input = tokenizer(text, return_tensors='pt')
-    output = model(**encoded_input)
-    return output
-
+    text = generator(text, max_length=250, num_return_sequences=1)
+    return text[0]['generated_text']
 iface = gr.Interface(fn=gpt2, inputs="text", outputs="text")
 iface.launch()