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Akhil Koduri
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Parent(s):
9b1be4f
Update app.py
Browse files
app.py
CHANGED
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import gradio as gr
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from transformers import pipeline
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# Initialize the translation pipeline with the
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text_translator = pipeline("
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#
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"Albanian": "sq",
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"Amharic": "am",
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"Arabic": "ar",
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"Armenian": "hy",
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"Azerbaijani": "az",
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"Basque": "eu",
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"Belarusian": "be",
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"Bengali": "bn",
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"Bosnian": "bs",
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"Bulgarian": "bg",
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"Catalan": "ca",
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"Cebuano": "ceb",
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"Chichewa": "ny",
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"Chinese (Simplified)": "zh",
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"Chinese (Traditional)": "zh-TW",
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"Corsican": "co",
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"Croatian": "hr",
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"Czech": "cs",
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"Danish": "da",
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"Dutch": "nl",
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"English": "en",
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"Esperanto": "eo",
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"Estonian": "et",
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"Filipino": "tl",
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"Finnish": "fi",
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"French": "fr",
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"Frisian": "fy",
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"Galician": "gl",
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"Georgian": "ka",
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"German": "de",
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"Greek": "el",
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"Gujarati": "gu",
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"Haitian Creole": "ht",
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"Hausa": "ha",
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"Hawaiian": "haw",
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"Hebrew": "he",
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"Hindi": "hi",
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"Hmong": "hmn",
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"Hungarian": "hu",
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"Icelandic": "is",
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"Igbo": "ig",
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"Indonesian": "id",
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"Irish": "ga",
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"Italian": "it",
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"Japanese": "ja",
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"Javanese": "jv",
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"Kannada": "kn",
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"Kazakh": "kk",
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"Khmer": "km",
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"Kinyarwanda": "rw",
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"Korean": "ko",
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"Kurdish (Kurmanji)": "ku",
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"Kyrgyz": "ky",
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"Lao": "lo",
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"Latin": "la",
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"Latvian": "lv",
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"Lithuanian": "lt",
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"Luxembourgish": "lb",
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"Macedonian": "mk",
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"Malagasy": "mg",
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"Malay": "ms",
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"Malayalam": "ml",
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"Maltese": "mt",
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"Maori": "mi",
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"Marathi": "mr",
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"Mongolian": "mn",
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"Myanmar (Burmese)": "my",
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"Nepali": "ne",
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"Norwegian": "no",
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"Odia (Oriya)": "or",
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"Pashto": "ps",
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"Persian": "fa",
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"Polish": "pl",
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"Portuguese": "pt",
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"Punjabi": "pa",
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"Romanian": "ro",
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"Russian": "ru",
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"Samoan": "sm",
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"Scots Gaelic": "gd",
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"Serbian": "sr",
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"Sesotho": "st",
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"Shona": "sn",
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"Sindhi": "sd",
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"Sinhala": "si",
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"Slovak": "sk",
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"Slovenian": "sl",
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"Somali": "so",
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"Spanish": "es",
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"Sundanese": "su",
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"Swahili": "sw",
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"Swedish": "sv",
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"Tagalog (Filipino)": "tl",
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"Tajik": "tg",
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"Tamil": "ta",
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"Tatar": "tt",
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"Telugu": "te",
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"Thai": "th",
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"Turkish": "tr",
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"Turkmen": "tk",
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"Ukrainian": "uk",
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"Urdu": "ur",
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"Uyghur": "ug",
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"Uzbek": "uz",
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"Vietnamese": "vi",
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"Welsh": "cy",
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"Xhosa": "xh",
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"Yiddish": "yi",
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"Yoruba": "yo",
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"Zulu": "zu"
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}
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def
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"""
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Args:
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text (str): The text to translate.
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Returns:
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str: The translated text
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"""
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return "Unsupported language selected. Please choose valid source and target languages."
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try:
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# Perform translation using T5 model pipeline
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translation = text_translator(text,
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translated_text = translation[0]["translation_text"]
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# Optionally return confidence score
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score = translation[0].get("score")
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if score:
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return f"Translation: {translated_text}\nConfidence Score: {score:.2f}"
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else:
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return translated_text
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except Exception as e:
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return f"Translation error: {str(e)}"
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@@ -157,14 +55,13 @@ def main():
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interface = gr.Interface(
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fn=translate_text,
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inputs=[
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gr.Textbox(label="Input text to translate", lines=6, placeholder="Enter text in
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gr.Dropdown(
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gr.Dropdown(list(language_mapping.keys()), label="Select destination language")
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],
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outputs=[gr.Textbox(label="Translated text", lines=4)],
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title="Multi-Language Translator",
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description="Translate text
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theme=
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live=True # Enable live updates
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)
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import gradio as gr
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from transformers import pipeline
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import json
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# Initialize the translation pipeline with the specific model
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text_translator = pipeline("translation", model="facebook/nllb-200-distilled-600M")
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# Load the JSON table containing language mappings
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with open('language.json') as f:
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language_data = json.load(f)
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def get_flores_200_code(language):
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"""
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Retrieves the FLORES-200 code for a given language from the loaded JSON data.
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Args:
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language (str): The name of the language.
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Returns:
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str: The FLORES-200 code for the language, or None if not found.
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"""
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for code in language_data:
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if code['Language'] == language:
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return code['FLORES-200 code']
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return None
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def translate_text(text, destination_language):
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"""
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Translates text from English to the selected destination language using the T5 model.
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Args:
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text (str): The text to translate.
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destination_language (str): The target language for translation.
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Returns:
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str: The translated text.
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"""
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dest_code = get_flores_200_code(destination_language)
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if not dest_code:
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return "Unsupported language selected. Please choose a valid language."
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try:
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# Perform translation using T5 model pipeline
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translation = text_translator(text,
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src_lang="eng_Latn",
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tgt_lang=dest_code)
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translated_text = translation[0]["translation_text"]
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return translated_text
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except Exception as e:
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return f"Translation error: {str(e)}"
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interface = gr.Interface(
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fn=translate_text,
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inputs=[
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gr.Textbox(label="Input text to translate", lines=6, placeholder="Enter text in English..."),
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gr.Dropdown([code['Language'] for code in language_data], label="Select destination language")
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],
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outputs=[gr.Textbox(label="Translated text", lines=4)],
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title="Multi-Language Translator",
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description="Translate English text to multiple languages using the T5 model. Select the target language from the dropdown menu and enter the text to translate.",
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theme=gr.themes.Soft(),
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live=True # Enable live updates
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)
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