Create app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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prefix = "<2id> "
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madlad = pipeline("translation", model="google/madlad400-3b-mt")
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lulu = pipeline("translation", model="tirtohadi/lulu7")
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def translate(text):
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# Split input text into paragraphs
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paragraphs = text.split("\n\n") # Assuming paragraphs are separated by two newline characters
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# Translate each paragraph
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translated_paragraphs_lulu = []
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translated_paragraphs_madlad = []
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for paragraph in paragraphs:
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# Call your custom model here to translate each paragraph
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translated_paragraph_madlad = madlad(prefix + paragraph, max_length=400)[0]["translation_text"]
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translated_paragraphs_madlad.append(translated_paragraph_madlad)
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translated_paragraph_lulu = lulu(paragraph, max_length=400)[0]["translation_text"]
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translated_paragraphs_lulu.append(translated_paragraph_lulu)
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# Join translated paragraphs back into text
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translated_text_lulu = "\n\n".join(translated_paragraphs_lulu)
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translated_text_madlad = "\n\n".join(translated_paragraphs_madlad)
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return translated_text_lulu,translated_text_madlad
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with gr.Blocks() as demo:
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gr.HTML("<h2>Lulu - Google Comparison</h2>")
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gr.Markdown("This app compares translations between Lulu (Christian domain specific trained) and Google (Madlad-400-3B-MT)")
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with gr.Row():
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input_text1 = gr.Textbox(label="English Text",lines=5)
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output_lulu = gr.Textbox(label="Indonesian - Lulu",lines=5)
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output_madlad = gr.Textbox(label="Indonesian - Google",lines=5)
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with gr.Row():
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with gr.Column(scale=2):
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btn = gr.Button("Translate")
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btn.click(fn=translate, inputs=input_text1, outputs=[output_lulu,output_madlad], api_name="translate")
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demo.launch()
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