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import gradio as gr | |
def greet(name): | |
return "Hello " + name + "!!" | |
def translate(input): | |
from transformers import T5ForConditionalGeneration, T5Tokenizer | |
model_name = 'jbochi/madlad400-3b-mt' | |
model = T5ForConditionalGeneration.from_pretrained(model_name, device_map="auto") | |
tokenizer = T5Tokenizer.from_pretrained(model_name) | |
text = f"<2en>{input}" | |
input_ids = tokenizer(text, return_tensors="pt").input_ids.to(model.device) | |
outputs = model.generate(input_ids=input_ids) | |
output = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
# Eu adoro pizza! | |
return output | |
demo = gr.Interface(fn=translate, inputs="text", outputs="text", title = 'Latin Translator', examples=[['Mi amiga Morgan es bonita'],['Hola, buenos noches!']]) | |
demo.launch(share=True) | |