Create app.py

app.py

@@ -0,0 +1,41 @@
+import gradio as gr
+from transformers import pipeline
+from typing import List, Dict, Any
+
+def merge_tokens(tokens: List[Dict[str, any]]) -> List[Dict[str, any]]:
+    merged_tokens = []
+    for token in tokens:
+        if merged_tokens and token['entity'].startswith('I-') and merged_tokens[-1]['entity'].endswith(token['entity'][2:]):
+            last_token = merged_tokens[-1]
+            last_token['word'] += token['word'].replace('##', '')
+            last_token['end'] = token['end']
+            last_token['score'] = (last_token['score'] + token['score']) / 2
+        else:
+            merged_tokens.append(token)
+
+    return merged_tokens
+
+get_completion = pipeline("ner", model="b3x0m/bert-xomlac-ner")
+
+def ner(input: str) -> Dict[str, Any]:
+    output = get_completion(input)
+    merged_tokens = merge_tokens(output)
+    return {"text": input, "entities": merged_tokens}
+
+css = '''
+h1#title {
+  text-align: center;
+}
+'''
+
+theme = gr.themes.Soft()
+demo = gr.Blocks(css=css, theme=theme)
+
+with demo:
+  interface = gr.Interface(fn=ner,
+                    inputs=[gr.Textbox(label="Input text", lines=10)],
+                    outputs=[gr.HighlightedText(label="Output")],
+                    allow_flagging="never",
+                    examples=["灵符山道场之外，玄玉子、赵成等诸多灵符山高层落座。", "李雷和韩梅梅今天一起去北京旅游。"])
+
+demo.launch()