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import gradio as gr
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from language_directions import *
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from transformers import pipeline
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from adibideak import adibide_esaldiak
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source_lang_dict = get_all_source_languages()
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target_lang_dict = {}
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source_languages = source_lang_dict.keys()
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def get_auto_detect_source_dropdown(input_text):
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source, _ = auto_detect_language_code(input_text)
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language_name = get_name_from_iso_code(source)
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source_dropdown_text = "Detected - " + language_name
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update_source_languages_dict(source_lang_dict, source_dropdown_text)
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source_language_dropdown = gr.Dropdown(choices=source_languages,
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value=source_dropdown_text,
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label="Input Language")
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return source_language_dropdown, language_name
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def get_target_dropdown(source_language_name, input_text):
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global target_lang_dict
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target_lang_dict, source_language = get_target_languages(source_lang_dict[source_language_name], input_text)
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target_languages = list(target_lang_dict.keys())
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default_target_value = None
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if "English" in target_languages or "english" in target_languages:
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default_target_value = "English"
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else:
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default_target_value = target_languages[0]
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target_dropdown = gr.Dropdown(choices=target_languages,
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value=default_target_value,
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label="Output Language")
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return target_dropdown
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def get_dropdown_value(dropdown):
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if isinstance(dropdown, gr.Dropdown):
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dropdown_value = dropdown.constructor_args.get('value')
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elif isinstance(dropdown, str):
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dropdown_value = dropdown
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return dropdown_value
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def get_dropdowns(source_dropdown, input_text):
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source_language_name = get_dropdown_value(source_dropdown)
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if input_text and source_language_name == "Detect" or source_language_name.startswith("Detected"):
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source_dropdown, source_language_name = get_auto_detect_source_dropdown(input_text)
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target_dropdown = get_target_dropdown(source_language_name=source_language_name,
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input_text=input_text)
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return source_dropdown, target_dropdown
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def input_changed(source_language_dropdown, input_text=""):
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return get_dropdowns(source_dropdown=source_language_dropdown,
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input_text=input_text)
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def translate(input_text, source, target):
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source_readable = source
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if source == "Detect" or source.startswith("Detected"):
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source, _ = auto_detect_language_code(input_text)
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if source in source_lang_dict.keys():
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source = source_lang_dict[source]
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target_lang_dict, _ = get_target_languages(source)
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try:
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target = target_lang_dict[target]
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model = f"Helsinki-NLP/opus-mt-{source}-{target}"
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pipe = pipeline("translation", model=model)
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translation = pipe(input_text)
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return translation[0]['translation_text'], ""
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except KeyError:
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return "", f"Error: Translation from {source_readable} to {target} is not supported by Translation Models"
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with gr.Blocks() as demo:
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gr.HTML("""<html>
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<head>
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<style>
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h1 {
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text-align: center;
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}
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</style>
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</head>
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<body>
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<h1>Euskera-EU Basque translator</h1>
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</body>
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</html>""")
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with gr.Row():
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with gr.Column():
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source_language_dropdown = gr.Dropdown(choices=source_languages,
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value="Detect",
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label="Input Language - Input Hizkuntza")
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input_textbox = gr.Textbox(lines=5, placeholder="Enter text to translate", label="Input Text")
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with gr.Column():
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target_language_dropdown = gr.Dropdown(choices=["Basque", "English", "French", "Spanish"],
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value="Basque",
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label="Output Language - Output Hizkuntza")
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translated_textbox = gr.Textbox(lines=5, placeholder="", label="Translated Text")
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info_label = gr.HTML("")
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btn = gr.Button("Translate - Itzuli")
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source_language_dropdown.change(input_changed, inputs=[source_language_dropdown, input_textbox], outputs=[source_language_dropdown, target_language_dropdown])
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input_textbox.change(input_changed, inputs=[source_language_dropdown, input_textbox], outputs=[source_language_dropdown, target_language_dropdown])
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btn.click(translate, inputs=[input_textbox,
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source_language_dropdown,
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target_language_dropdown],
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outputs=[translated_textbox, info_label])
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gr.Examples(adibide_esaldiak, inputs=[input_textbox])
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if __name__ == "__main__":
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demo.launch() |
