Create app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the model and tokenizer from Hugging Face Hub
+model_name = "MichelleKanuri/swahili-ner"  # Replace with your model repo name
+nlp = pipeline("ner", model=model_name, tokenizer=model_name)
+
+# Function for predictions
+def predict_entities(text):
+    return nlp(text)
+
+# Create a Gradio interface
+iface = gr.Interface(fn=predict_entities, inputs="text", outputs="json", 
+                     live=True, title="Swahili NER", 
+                     description="Named Entity Recognition for Kiswahili text using BERT.")
+
+# Launch the Gradio interface
+iface.launch()