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Browse files- applica.py +47 -0
- requirements.txt +4 -0
applica.py
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from transformers import pipeline
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import gradio as gr
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# Load translation pipelines
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translator_en_to_ha = pipeline('translation', model='facebook/nllb-200-distilled-600M')
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translator_en_to_ig = pipeline('translation', model='facebook/nllb-200-distilled-600M')
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translator_en_to_yo = pipeline('translation', model='facebook/nllb-200-distilled-600M')
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translator_ha_to_en = pipeline('translation', model='facebook/nllb-200-distilled-600M')
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translator_ig_to_en = pipeline('translation', model='facebook/nllb-200-distilled-600M')
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translator_yo_to_en = pipeline('translation', model='facebook/nllb-200-distilled-600M')
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def translate(from_text, language):
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if language == "English to Hausa":
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result = translator_en_to_ha(from_text, src_lang="eng_Latn", tgt_lang="hau_Latn")[0]['translation_text']
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return result
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elif language == "English to Igbo":
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result = translator_en_to_ig(from_text, src_lang="eng_Latn", tgt_lang="ibo_Latn")[0]['translation_text']
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return result
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elif language == "English to Yoruba":
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result = translator_en_to_yo(from_text, src_lang="eng_Latn", tgt_lang="yor_Latn")[0]['translation_text']
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return result
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elif language == "Hausa to English":
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result = translator_ha_to_en(from_text, src_lang="hau_Latn", tgt_lang="eng_Latn")[0]['translation_text']
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return result
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elif language == "Igbo to English":
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result = translator_ig_to_en(from_text, src_lang="ibo_Latn", tgt_lang="eng_Latn")[0]['translation_text']
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return result
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elif language == "Yoruba to English":
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result = translator_yo_to_en(from_text, src_lang="yor_Latn", tgt_lang="eng_Latn")[0]['translation_text']
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return result
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# Set up Gradio interface with dropdown and simplified output
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interface = gr.Interface(
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fn=translate,
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inputs=[
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gr.Textbox(lines=2, placeholder="Text to translate", label="Input Text"),
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gr.Dropdown(["English to Hausa", "English to Igbo", "English to Yoruba",
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"Hausa to English", "Igbo to English", "Yoruba to English"],
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label="Translation Direction", value="English to Hausa")
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],
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outputs=gr.Textbox(label="Translation Result") # Single output box for the selected translation
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)
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# Launch the interface
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interface.launch()
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requirements.txt
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transformers==4.30.2
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gradio==3.36.1
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torch
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