Update app.py

app.py

@@ -1,17 +1,16 @@
 # URL: https://huggingface.co/spaces/gradio/text_generation
 # imports
 import gradio as gr
-from transformers import GPT2Tokenizer, GPT2Model
-import torch
+from transformers import pipeline, set_seed
 
 # loading the model
-tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
-model = GPT2Model.from_pretrained('gpt2')
+generator = pipeline('text-generation', model='gpt2')
+set_seed(42)
+
 
 # defining the core function
 def generate(text):
-    generation_pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer)
-    result = generation_pipeline(text)
+    generator(text, max_length=30, num_return_sequences=1)
     return result[0]["generated_text"]