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Create app.py
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app.py
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# KINYARWANDA TO ENGLISH
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import gradio as gr
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from transformers import MarianMTModel, MarianTokenizer
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# Suppose you found a model 'Helsinki-NLP/opus-mt-rw-en' that translates from Kinyarwanda to English
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model_name = 'Helsinki-NLP/opus-mt-rw-en'
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tokenizer = MarianTokenizer.from_pretrained(model_name)
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model = MarianMTModel.from_pretrained(model_name)
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# Function to translate text from Kinyarwanda to English
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def translate(text):
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# Tokenize the text using the __call__ method
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model_inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True)
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# Perform the translation
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gen = model.generate(**model_inputs)
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# Decode the generated tokens to string
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translation = tokenizer.batch_decode(gen, skip_special_tokens=True)
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return translation[0]
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# Create a Gradio interface
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iface = gr.Interface(
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fn=translate,
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inputs=gr.Textbox(lines=2, placeholder="Enter Text in Kinyarwanda..."),
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outputs=gr.Textbox()
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)
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# Launch the interface
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iface.launch(debug=True,inline=False)
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