Upload app.py

app.py

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+from transformers import pipeline
+import os
+import gradio as gr
+
+os.environ["HF_HUB_DISABLE_SYMLINKS_WARNING"] = "1"
+
+ner_pipeline = pipeline(task="ner", model="Tirendaz/roberta-base-NER", framework="pt")
+
+
+def ner(text):
+    output = ner_pipeline(text, aggregation_strategy="simple")
+    return {"text": text, "entities": output}
+
+
+examples = \
+    [
+        "My name is Tim and I live in California",
+        "Ich arbeite bei Google in Berlin",
+        "Ali, Ankara'lı mı?"
+    ]
+
+demo = (gr.Interface(ner, gr.Textbox(placeholder="Enter sentence here..."), gr.Highlightedtext(), examples))
+
+demo.launch(share=True)