Updated app.py

app.py

@@ -1,7 +1,29 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner("ndpaircraft.pkl")
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+title = "NDP Aircraft Classifier"
+description = "A NDP Aircraft classifier trained on images downloaded from the internet. Created as a demo for Gradio and HuggingFace Spaces."
+
+image = gr.Image(shape=(224, 224))
+label = gr.Label()
+examples = ["f15.png", "f16.jpg", "chinook.jpg", "apache.jpg"]
+interpretation = "default"
+
+intf = gr.Interface(
+    fn=predict,
+    inputs=image,
+    outputs=label,
+    title=title,
+    description=description,
+    examples=examples,
+    interpretation=interpretation,
+)
+
+intf.launch(share=True)