Create app.py

app.py

@@ -0,0 +1,23 @@
+from fastbook import *
+import gradio as gr 
+
+#def get_y(o):
+# return [parent_label(o)]
+  
+## lets load the model 
+learn_inf = load_learner('single_label_maize_disease_classifier.pkl')
+
+
+
+def maize_disease_classifier(image):
+  pred,pred_idx,probs = learn_inf.predict(image)
+  pred_name = f"Prediction:  {pred}"
+  pred_prob = f"Probability:  {probs[pred_idx]}"
+  pred_array = pred_idx
+  return pred_name, pred_prob, pred_array
+  
+ 
+iface = gr.Interface(fn=maize_disease_classifier, inputs=gr.inputs.Image(shape=(224, 224)), \
+             outputs=["text", "number", "text"])
+
+iface.launch(inline=False)