Update app.py

app.py

@@ -1,16 +1,17 @@
 import gradio as gr
-from gradio.mix import Series
+from gradio import inputs
+from gradio.inputs import Textbox
+from gradio import outputs
+from transformers import pipeline
 
-description = "Input Chinese language text, submit and the machine will generate additional English language text."
+title = "Next Sentence Generator"
+description = "Try this text generator!"
+examples = [
+   ["Zoe Kwan is a 20-year old singer and songwriter who has taken Hong Kong’s music scene by storm."],
+   ["Zoe’s big break came when the godfather of Cantopop Sam Hui stumbled upon a YouTube video of Zoe singing."]
+]
+generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B")
+generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B")
+generator1 = gr.Interface.load("huggingface/gpt2-large")
 
-translator = gr.Interface.load("huggingface/Helsinki-NLP/opus-mt-zh-en")
-model1 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B")
-model2 = gr.Interface.load("huggingface/ckiplab/gpt2-base-chinese")
-
-tg_demo = gr.Series(translator, model1, inputs=gr.Textbox(lines=5, label="Input Text"), description=description)
-gt_demo = gr.Series(model2, translator, inputs=gr.Textbox(lines=5, label="Input Text"), description=description)
-
-demo = gr.TabbedInterface([tg_demo, gt_demo], ["Chinese Translator to English Generator", "Chinese Generator to English Translator"])
-
-if __name__ == "__main__":
-   demo.launch()
+gr.Parallel(generator1, generator2, generator3, inputs=gr.inputs.Textbox(lines=5, label="Enter a sentence to get another sentence."), title=title, description=description, examples=examples).launch(share=False, enable_queue=True)