Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 from transformers import pipeline
 
-generator = pipeline('text-generation', model='EleutherAI/gpt-neo-125M')
+generator = pipeline('text-generation', model='huggingface/bigscience/bloom-560m')
 
 def generate(text):
     result = generator(text, max_length=100, num_return_sequences=1)
@@ -13,6 +13,6 @@ examples = [
 ]
 
 demo = gr.Interface(fn=generate, inputs=gr.inputs.Textbox(lines=5, label="Input Text"), outputs=gr.outputs.Textbox(label="Generated Text"), 
-                    title="Text Generator GPT-Neo-125M", examples=examples)
+                    title="Text Generator bloom-560m", examples=examples)
 
 demo.launch()