Add classifier app

main.py

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+"""
+app.py - Gradio app for Hugging Face Spaces
+---------------------------------------------
+Hosts the Bean Disease Classifier as a permanent, always-on API endpoint
+that the Flet app (or anything else) can call.
+
+This file goes in the root of your Hugging Face Space repo alongside
+requirements.txt and README.md.
+"""
+
+import gradio as gr
+from huggingface_hub import from_pretrained_fastai
+
+HF_MODEL_ID = "MarkJoshua/Mak-Bean-Disease-Classifier"
+
+learner = from_pretrained_fastai(HF_MODEL_ID)
+
+
+def classify(img):
+    pred_label, pred_idx, probs = learner.predict(img)
+    vocab = learner.dls.vocab
+    return {str(vocab[i]): float(probs[i]) for i in range(len(probs))}
+
+
+demo = gr.Interface(
+    fn=classify,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Label(num_top_classes=5),
+    title="Bean Disease Classifier",
+    description=f"Model: {HF_MODEL_ID}",
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+fastai==2.8.7
+huggingface_hub>=1.21.0
+gradio