added the main code and the model files

app.py

@@ -0,0 +1,16 @@
+import gradio as gr
+from fastai import load_learner
+
+learner = load_learner('model.pkl')
+
+def classify_images(img):
+    pred, index, probs = learner.predict(img)
+    return {learner.dls.vocab[i]: float(probs[i]) for i in range(len(learner.dls.vocab))}
+
+intface = gr.Interface(fn=classify_images, inputs=gr.inputs.Image(type='pil'),
+                       outputs=gr.outputs.Label(num_top_classes=2),
+                        title="Kentish plover vs White-faced plover Classifier",
+                        description="Upload an image of either Kentish plover and White-faced plover."
+                         )
+
+intface.launch(share=True)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9d6f4100d6da6b22a3977d35e6aacea55f3fece76ebe06ec2aeb0ed85afea8a7
+size 46969670