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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") |