A names entity Recognition using gradio.

app.py

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+API_URL = "https://api-inference.huggingface.co/models/dslim/bert-base-NER"
+
+# Helper function
+import requests, json
+
+#Summarization endpoint
+def get_completion(inputs,ENDPOINT_URL, parameters=None): 
+    hf_api_key = "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"
+    headers = {
+      "Content-Type": "application/json"
+    }
+    data = { "inputs": inputs }
+    if parameters is not None:
+        data.update({"parameters": parameters})
+    response = requests.request("POST",
+                                ENDPOINT_URL, headers=headers,
+                                data=json.dumps(data)
+                               )
+    return json.loads(response.content.decode("utf-8"))
+
+    
+import gradio as gr
+def merge_tokens(tokens):
+    merged_tokens = []
+    for token in tokens:
+        if merged_tokens and token['entity_group'].startswith('I-') and merged_tokens[-1]['entity_group'].endswith(token['entity'][2:]):
+            # If current token continues the entity of the last one, merge them
+            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:
+            # Otherwise, add the token to the list
+            merged_tokens.append(token)
+
+    return merged_tokens
+
+def ner(input):
+    output = get_completion(input, parameters=None, ENDPOINT_URL=API_URL)
+    merged_tokens = merge_tokens(output)
+    return {"text": input, "entities": merged_tokens}
+
+gr.close_all()
+demo = gr.Interface(fn=ner,
+                    inputs=[gr.Textbox(label="Text to find entities", lines=2)],
+                    outputs=[gr.HighlightedText(label="Text with entities")],
+                    title="NER with dslim/bert-base-NER",
+                    description="Find entities using the `dslim/bert-base-NER` model under the hood!",
+                    allow_flagging="never",
+                    examples=["My name is Andrew, I'm building DeeplearningAI and I live in California", "My name is Poli, I live in Vienna and work at HuggingFace"])
+
+demo.launch(inline= False)