let's deploy to hf

.gitignore

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+# Python-specific ignores
+__pycache__/
+*.py[cod]
+*$py.class
+
+# Virtual environment
+venv/
+env/
+*.env
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+*.manifest
+*.spec
+
+# Logs
+*.log
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+
+# PyCharm
+.idea/
+
+# VS Code
+.vscode/
+
+# macOS
+.DS_Store
+
+# Windows
+Thumbs.db

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+def is_cat(x): return x[0].isupper()
+
+learn = load_learner('model.pkl')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return f"Prediction: {pred}. Probability: {probs[idx]:.04f}"
+
+iface = gr.Interface(
+    fn=classify_image,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="Cat Classifier",
+    description="Upload an image to check if it's a cat!"
+)
+
+iface.launch(inline=False)

requirements.txt

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+fastai
+gradio