| import gradio as gr | |
| from transformers import pipeline | |
| def greet(sentences1): | |
| translation = pipeline("translation", model="Helsinki-NLP/opus-mt-en-hu") | |
| text_translated=[] | |
| for text in sentences1: | |
| text_translated.append(translation(text)) | |
| combined_text = ' '.join([item['translation_text'] for sublist in text_translated for item in sublist]) | |
| return combined_text | |
| demo = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| demo.launch() |