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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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import os
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# Connects to your specific model
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# If you make your model PRIVATE, ensure you add HF_TOKEN to Space Secrets!
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auth_token = os.environ.get("HF_TOKEN")
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model_id = "arnoldramo/garifuna-nllb"
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# Initialize translation pipeline
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translator = pipeline(
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"translation",
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model=model_id,
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token=auth_token
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)
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def translate_to_garifuna(message, history, source_lang):
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# Mapping selection to NLLB language codes
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lang_map = {
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"English": "eng_Latn",
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"Spanish": "spa_Latn"
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}
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src_code = lang_map.get(source_lang, "eng_Latn")
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# Run the model
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output = translator(message, src_lang=src_code, tgt_lang="cab_Latn")
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return output[0]['translation_text']
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# Create the Chat Interface
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demo = gr.ChatInterface(
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fn=translate_to_garifuna,
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title="Garifuna Translator",
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description="Type in English or Spanish to see the Garifuna translation.",
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additional_inputs=[
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gr.Dropdown(
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label="Source Language",
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choices=["English", "Spanish"],
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value="English" # English is default
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)
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],
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examples=[["Hello, how are you?", "English"], ["Buenos días", "Spanish"]],
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theme=gr.themes.Soft()
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)
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if __name__ == "__main__":
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demo.launch()
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