Actually push

src/app.py

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+import gradio as gr
+from fastai.learner import load_learner
+from fastai.vision.core import PILImage
+
+# Load the model
+learn = load_learner('exported_fastai.pkl', cpu=False)
+
+def classify_image(inp):
+    inp = PILImage.create(inp)
+    pred, _, _ = learn.predict(inp)
+    return pred
+
+iface = gr.Interface(
+    fn=classify_image,
+    inputs=gr.inputs.Image(),
+    outputs="text",
+    title="Fastai Classifier",
+    description="An example of using Fastai in Gradio.",
+).launch()