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import gradio as gr | |
from transformers import AutoTokenizer | |
tokenizer = AutoTokenizer.from_pretrained("liam168/c2-roberta-base-finetuned-dianping-chinese") | |
def greet(name): | |
result = tokenizer([name],padding=True,truncation=True,return_tensors="pt") | |
tensor_str = ','.join(map(str, result.input_ids.numpy())) | |
decode_str = tokenizer.decode(result) | |
return tensor_str,decode_str | |
iface = gr.Interface(fn=greet, inputs="text", outputs=["text","text"]) | |
iface.launch(share=True,server_name="0.0.0.0") |