Add app.py file

app.py

@@ -0,0 +1,26 @@
+from transformers import pipeline
+import gradio as gr
+
+
+model_checkpoint = "vonewman/wolof-finetuned-ner"
+
+ner_pipeline = pipeline("ner", model=model_checkpoint,
+                        aggregation_strategy="simple")  
+
+examples = [
+    "Paap  Juuf  , politiseŋ bi Saa buñ nee Paap  Juuf  , xel yépp dem ci futbal ak Olympique de Marseille ",
+    "Bombardier xamle na ni dafa bëgga jàmmaarloo ak Eumeu Sen laata muy bàyyi.",
+    "Pastef benn kureel la ci Senegaal bu Ousmane Sonko jiite.",
+    "Waaye , li ëpp ci samay xalaat ak i seetlu , Afrig la ñeel , sunu Afrig ak ëllëgam"
+]
+
+def ner(text):
+    output = ner_pipeline(text)
+    return {"text": text, "entities": output}
+
+demo = gr.Interface(ner,
+             gr.Textbox(placeholder="Tapez votre phrase ici..."),
+             gr.HighlightedText(),
+             examples=examples)
+
+demo.launch(share=True)