Update app.py

app.py

@@ -4,15 +4,17 @@ from transformers import pipeline
 generator = pipeline('text-generation', model='bigscience/bloom-560m')
 
 def generate(text):
-    result = generator(text, max_length=100, num_return_sequences=1)
+    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."],
-]
+#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 Bloom-560M", examples=examples)
+#lines=5, label="Input Text"
+#label="Generated Text"
+#title="Text Generator Bloom-560M", examples=examples
+gr.Interface(fn=generate, inputs=gr.inputs.Textbox(), outputs=gr.outputs.Textbox()).launch
 
-demo.launch()
+#demo.launch()