Update app.py

app.py

@@ -1,18 +1,10 @@
 import gradio as gr
 from transformers import pipeline
 
-generator = pipeline('text-generation', model='EleutherAI/pythia-800m')
+generator = pipeline('text-generation', model='gpt2')
 
 def generate(text):
-    result = generator(text, max_length=100, num_return_sequences=1)
-    return result[0]["generated_text"]
+    result = generator(text)
+    return result[0]['generated_text']
 
-examples = [
-    ["Zoe Kwan is a 20-year old singer and songwriter who has taken Hong Kong’s music scene by storm."],
-    ["Zoe only recently began writing songs."],
-]
-
-demo = gr.Interface(fn=generate, inputs=gr.inputs.Textbox(lines=5, label="Input Text"), outputs=gr.outputs.Textbox(label="Generated Text"), 
-                    title="Text Generator Pythia-350M", examples=examples)
-
-demo.launch()
+gr.Interface(fn=generate).launch()