app.py add

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+# Load the trained model
+learn = load_learner("model.pkl")  # Ensure "model.pkl" is in the working directory
+
+# Define a function to predict the class
+def predict(img):
+    pred, pred_idx, probs = learn.predict(img)
+    return {learn.dls.vocab[i]: float(probs[i]) for i in range(len(probs))}
+
+# Create a Gradio interface
+interface = gr.Interface(fn=predict, inputs=gr.Image(type="pil"), outputs=gr.Label())
+
+# Launch the app
+interface.launch()

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ed17795ca128a737e83d695631285080fe2adc142b4b865ffe6506c6d9b8c037
+size 46954859

requirements.txt

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+fastai==2.7.12
+torch>=2.0.0
+gradio==4.22.0
+huggingface_hub