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import gradio as gr | |
from transformers import T5Tokenizer, T5ForConditionalGeneration | |
tokenizer = T5Tokenizer.from_pretrained("google/flan-t5-large") | |
model = T5ForConditionalGeneration.from_pretrained("google/flan-t5-large") | |
input_text = "translate English to German: How old are you?" | |
def greet(input_text): | |
input_ids = tokenizer(input_text, return_tensors="pt").input_ids | |
outputs = model.generate(input_ids, max_length=40) | |
return tokenizer.decode(outputs[0]) | |
iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
iface.launch() |