app.py

from transformers import AutoTokenizer,AutoModel,BertTokenizer
from transformers.pipelines import pipeline
import gradio as gr
from huggingface_hub import login
import os
login(os.environ['HF_Token'])
ner_predictor = pipeline(
    task="nerpipe",
    model="minskiter/resume-token-classification-name-0708",
    device="cpu",
    trust_remote_code=True,
    use_auth_token=True
)

def ner_predictor_gradio(input):
    entities = ner_predictor(input)
    return {"text":input, "entities":entities}

demo = gr.Interface(
    fn=ner_predictor_gradio, 
    inputs=gr.Textbox(lines=5, label="输入你的简历"), 
    outputs=gr.HighlightedText(label="简历识别结果"),
)
demo.launch()