Update app.py

app.py

@@ -1,17 +1,16 @@
 import gradio as gr
-from gradio import inputs
-from gradio.inputs import Textbox
-from gradio import outputs
-from transformers import pipeline
+from gradio.mix import Series
 
-title = "Next Sentence Generator1"
-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")
+description = "Input Chinese language text, submit and the machine will generate additional English language text."
 
-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)
+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()