Update app.py

app.py

@@ -1,18 +1,10 @@
 import gradio as gr
-from transformers import pipeline
+from gradio.mix import Series
 
-generator = pipeline('text-generation', model='Wootang01/distilgpt2-finetuned-hkdse-english-paper4')
+title = "Chinese Text Generator and Translator"
+description = "Input Chinese language text, submit and the machine will generate additional English language text"
 
-def generate(text):
-    result = generator(text, max_length=100, num_return_sequences=1)
-    return result[0]["generated_text"]
+translator = gr.Interface.load("huggingface/Helsinki-NLP/opus-mt-zh-en")
+model1 = gr.Interface.load("huggingface/ckiplab/gpt2-base-chinese")
 
-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 Distil GPT2 Finetuned on HKDSE English Language Paper 4", examples=examples)
-
-demo.launch()
+gr.Series(model1, translator, inputs=gr.Textbox(lines=5, label="Input Text"), title=title, description=description).launch()