add app.py

app.py

@@ -1,7 +1,26 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+title = "Interstellar Classifier"
+description = "Built for fast.ai 'Practical Deep Learning'"
+examples = "examples"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+model = load_learner("model/model.pkl")
+
+
+def predict(img):
+    labels = model.dls.vocab
+    img = PILImage.create(img)
+    pred, pred_idx, probs = model.predict(img)
+    return dict(map(labels, map(float, probs)))
+
+
+demo = gr.Interface(
+    fn=predict,
+    inputs="image",
+    outputs="image",
+    examples=examples,
+    title=title,
+    description=description,
+).queue(default_concurrency_limit=5)
+demo.launch()