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import gradio as gr
from transformers import pipeline
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-nl-en")
def main(in_text):
print(in_text)
answer = pipe(in_text)
print(answer)
return answer[0]["translation_text"]
with gr.Blocks() as demo:
gr.Markdown("""# Translation Engine!""")
with gr.Row():
with gr.Column():
text1 = gr.Textbox(
label="Input Text",
lines=1,
)
output = gr.Textbox(label="Output Text")
b1 = gr.Button("Translate!")
b1.click(main, inputs=[text1], outputs=output)
gr.Markdown("""#### powered by [Tassle](https://bit.ly/3LXMklV)""")
if __name__ == "__main__":
demo.launch(debug=True)