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from transformers import pipeline | |
import gradio as gr | |
model_checkpoint = "RogerB/x-marian-finetuned-multidataset-kin-to-en" | |
fine_tuned_model = pipeline("translation", model=model_checkpoint) | |
def translate_transformers(from_text): | |
results = fine_tuned_model(from_text) | |
return results[0]['translation_text'] | |
interface = gr.Interface(fn=translate_transformers, | |
inputs=gr.Textbox(placeholder='Kinyarwanda Text to translate'), | |
outputs='text',title="Kinyarwanda to English Translation") | |
interface.launch(debug=True) | |