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| import gradio as gr | |
| from transformers import pipeline | |
| # Load the translation pipeline from Hugging Face Transformers | |
| translator = pipeline("translation", model="Helsinki-NLP/opus-mt-fr-en") | |
| # Define the translation function | |
| def translate_text(text: str) -> str: | |
| """Translate text from French to English | |
| Args: | |
| text (str): french text input | |
| Returns: | |
| str: english text output | |
| """ | |
| try: | |
| # Translate text from French to English | |
| translation_result = translator(text, | |
| src_lang="fr", | |
| tgt_lang="en") | |
| translated_text = translation_result[0]['translation_text'] | |
| return translated_text | |
| except Exception as e: | |
| # Print the error for debugging | |
| print(f"Translation Error: {str(e)}") | |
| return "Translation Error" | |
| # Create a "simple" Gradio interface | |
| interface = gr.Interface( | |
| fn=translate_text, | |
| inputs=gr.Textbox("text", label="Enter text in French"), | |
| outputs='text',#gr.Textbox("text", label="Translated text in English"), | |
| #live=True, | |
| title="Language Translator", | |
| description="Translate French text to English using Hugging Face Transformers.", | |
| ) | |
| # Launch the Gradio interface | |
| interface.launch() |