Create app.py

app.py

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+import gradio as gr
+from fastai.learner import load_learner
+from fastai.vision.core import PILImage
+
+
+from huggingface_hub import hf_hub_download
+
+
+learner = load_learner(hf_hub_download("montoti05/isitabird","model.pkl"))
+
+def classify_image(image):
+    img = PILImage.create(image)
+    pred_class, pred_idx, outputs = learner.predict(img)
+    return(f"Predicted class: {pred_class}")
+    
+
+gr.Interface(fn=classify_image,
+             inputs=gr.Image(width=224, height=224),
+             outputs="textbox").launch()