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Create app.py
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app.py
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained("facebook/bart-base")
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infer = AutoModelForSeq2SeqLM.from_pretrained("Qilex/bart-largeEN-ME")
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def translate(sentence):
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input_ids = tokenizer(sentence, return_tensors="pt").input_ids
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outputs = infer.generate(input_ids, max_new_tokens = len(sample.split(' '))*10)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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title = "English to Middle English Translator"
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description = """
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This translator is trained on about 80,000 English/Middle English paired sentences.
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<br>
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It's still a work in progress.
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"""
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article = ''''''
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gr.Interface(
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fn=translate,
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inputs=gr.Textbox(lines=1, placeholder="Enter text to translate."),
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outputs="text",
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title=title,
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description=description,
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article = article,
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).launch()
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