Create app.py

app.py

@@ -0,0 +1,26 @@
+import spacy
+import spacy_transformers
+
+nlp = spacy.load("en_core_web_trf")
+
+examples = [
+    "Does Chicago have any stores and does Joe live here?",
+]
+
+def ner(text):
+    doc = nlp(text)
+    final_output = []
+    
+    for ent in doc.ents:
+      output = {'entity': ent.label_, 'word': ent.text, 'start': int(ent.start_char), 'end': int(ent.end_char)}
+      final_output.append(output)
+        
+    return {"text": text, "entities": final_output}    
+
+demo = gr.Interface(ner,
+             gr.Textbox(placeholder="Enter sentence here..."), 
+             gr.HighlightedText(),
+             examples=examples)
+
+if __name__ == '__main__':
+  demo.launch(debug=True)