Create app.py

app.py

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+import gradio as gr
+#os is used to change the directory
+import os
+#spacy is used for the NER
+import spacy
+#pandas is used to read, edit, and write tabular data
+import pandas as pd
+from spacy import displacy
+from collections import Counter
+import en_core_web_sm
+# spacy.cli.download("en_core_web_lg")
+nlp = en_core_web_sm.load()
+
+
+nlp = spacy.load("en_core_web_sm")
+def ner(sentence):
+  doc = nlp(sentence)
+  ents = [(e.text, e.label_) for e in doc.ents]
+  return ents
+
+examples = [
+    "where did Wandobire's laptop come from, was it africa or uganda?",
+]
+
+
+iface=gr.Interface(ner, gr.Textbox(placeholder="Enter sentence here..."), 
+             gr.HighlightedText(), examples=examples)
+iface.launch()