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import gradio as gr | |
from transformers import pipeline | |
model_list = [ | |
"facebook/m2m100_418M", | |
"Helsinki-NLP/opus-mt-en-zh", | |
"liam168/trans-opus-mt-en-zh" | |
] | |
translation_pipelines = {} | |
# init | |
for model_name in model_list: | |
translation_pipelines[model_name] = pipeline("translation_en_to_zh", model=model_name) | |
def translate(text, model_name): | |
pipe = translation_pipelines[model_name] | |
return pipe(text)[0]["translation_text"] | |
with gr.Blocks() as demo: | |
with gr.Row(): | |
with gr.Column(): | |
englishtxt_model_input = [ | |
gr.Textbox(label="English text"), | |
gr.Dropdown(model_list, value="facebook/m2m100_418M", label="Model") | |
] | |
translate_btn = gr.Button(value="Translate") | |
with gr.Column(): | |
chinese_output = gr.Textbox(label="Chinese Text") | |
translate_btn.click(translate, inputs=englishtxt_model_input, outputs=chinese_output, api_name="translate-to-chinese") | |
examples = gr.Examples(examples=["I went to the supermarket yesterday.", "Helen is a good swimmer."], | |
inputs=[englishtxt_model_input[0]]) | |
demo.launch() | |