Update app.py

app.py

@@ -1,3 +1,18 @@
 import gradio as gr
+from transformers import pipeline
 
-gr.Interface.load("huggingface/bigscience/bloom-560m").launch()
+generator = pipeline('text-generation', model='bigscience/bloom-560m')
+
+def generate(text):
+    result = generator(text, max_length=100, num_return_sequences=1)
+    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"), 
+                    examples=examples)
+
+demo.launch(share=True)