Update app.py

app.py

@@ -1,7 +1,15 @@
-import gradio as gr
-from gradio.mix import Parallel
+generator = pipeline('text-generation', model='bigscience/bloom-560m')
 
-model1 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-125M")
-model2 = gr.Interface.load("huggingface/bigscience/bloom-560m")
+def generate(text):
+    result = generator(text, max_length=100, num_return_sequences=1)
+    return result[0]["generated_text"]
 
-gr.Parallel(model1, model2).launch()
+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"), 
+                    examples=examples)
+
+demo.launch()