app.py

'''
对话机器人demo
'''
  

'''
通过t5模型进行翻译
'''
import gradio as gr
from transformers import pipeline

# pipe = pipeline("translation", model="t5-base") # default is English to German

# pipe = pipeline("translation_en_to_fr", model="t5-base") # translate English to France

pipe = pipeline("translation_en_to_fr", model="t5-base")

def translate(text):
    return pipe(text)[0]['translation_text']
    

with gr.Blocks() as demo:
    with gr.Row():
        with gr.Column():
            english = gr.Textbox(label="English text")
            translate_btn = gr.Button(value="Translate")
        with gr.Column():
            France = gr.Textbox(label="France text")

    translate_btn.click(fn=translate, inputs=[english], outputs=[France])
    examples = gr.Examples(examples=["I went to the supermarket yesterday.", "Helen is a good swimmer."], inputs=[english])

print("launch app...")
demo.launch() 
#demo.launch(server_port=9000, share=True) # share is not supported in Space