Create app.py

app.py

@@ -0,0 +1,13 @@
+from huggingface_hub import from_pretrained_fastai
+import gradio as gr
+
+repo_id = "pamunarr/P7EjOpc1-ModLen"
+
+learner = from_pretrained_fastai(repo_id)
+labels = ["World" , "Nigeria" , "Health" , "Africa" , "Politics"]
+
+def predict(text):
+    _ , _ , probs = learner.predict(text)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+gr.Interface(fn=predict, inputs="text", outputs=gr.components.Label(num_top_classes=5)).launch(share=False)