| import translation_direction_detection as tdd | |
| from nmtscore import NMTScorer | |
| import gradio as gr | |
| detector = tdd.TranslationDirectionDetector(NMTScorer("m2m100_418M")) | |
| def translate_direction(text1, lang1, text2, lang2): | |
| lang_to_code = {"English": 'en', | |
| "German": 'de', | |
| "French": 'fr', | |
| "Czech": 'cs', | |
| "Ukrainian": 'uk', | |
| "Chinese": 'zh', | |
| "Russian": 'ru', | |
| "Bengali": 'bn', | |
| "Hindi": 'hi', | |
| "Xhosa": 'xh', | |
| "Zulu": 'zu', | |
| } | |
| if "\n" in text1 or "\n" in text2: | |
| sentence1 = text1.split("\n") | |
| sentence2 = text2.split("\n") | |
| else: | |
| sentence1 = text1 | |
| sentence2 = text2 | |
| result = detector.detect(sentence1, sentence2, lang_to_code[lang1], lang_to_code[lang2]) | |
| return result | |
| iface = gr.Interface( | |
| fn=translate_direction, | |
| inputs=[ | |
| gr.Textbox(placeholder="Enter a single sentence or multiple sentences separated by a line break (Shift+Enter) in language 1 here.", label="Text 1"), | |
| gr.Dropdown(choices=["English", "German", "French", "Czech", "Ukranian", "Chinese", "Russian", "Bengali", "Hindi", "Xhosa", "Zulu"], label="Language of Text 1"), | |
| gr.Textbox(placeholder="Enter a single sentence or multiple sentences separated by a line break (Shift+Enter) in language 2 here.", label="Text 2"), | |
| gr.Dropdown(choices=["English", "German", "French", "Czech", "Ukranian", "Chinese", "Russian", "Bengali", "Hindi", "Xhosa", "Zulu"], label="Language of Text 2") | |
| ], | |
| outputs=gr.Textbox(label="Result"), | |
| title="Translation Direction Detector", | |
| description="Detects the translation direction between two parallel sentences using the M2M100 418M translation model.",) | |
| iface.launch() |