Create app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+import os
+from fastai.vision.all import load_learner
+
+
+model = load_learner("model.pkl")
+prediction, idx, confidence = model.predict(image)
+
+model = load_learner("model.pkl")
+
+def predict(img):
+    pred, idx, probs = model.predict(img)
+    model = load_learner("model.pkl")
+    prediction, idx, confidence = model.predict(image)
+    return prediction
+
+
+image = gr.inputs.Image(shape=(256, 256))
+label = gr.outputs.Label()
+
+interface = gr.Interface(fn=predict, inputs=image, outputs=label)
+interface.launch()