Model loaded

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("JmGarzonv/intel_image_classification_fastai","model.pkl","model.pkl"))
+
+def classify_image(image):
+    img = PILImage.create(image)
+    pred_class, pred_idx, outputs = learner.predict(img)
+    return(f"Predicted class: {pred_class}")
+    
+demo = gr.Interface(classify_image, gr.Image(shape=(224, 224)), "text")
+demo.launch()

requirements.txt

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+gradio
+fastai