deploy(app.py): update app.py

.gitignore

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+**/__pycache__

app.py

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+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()

requirements.txt

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+transformers==4.30.1
+gradio==3.36.1
+huggingface-hub==0.15.1
+torch==2.0.1