Initial commit: exoplanet

.gitattributes

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+model.joblib filter=lfs diff=lfs merge=lfs -text

.gitignore

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+__pycache__/
+*.py[cod]
+*.so
+
+# Virtual environments & local tooling
+venv/
+.venv/
+env/
+ENV/
+.env
+.env.*
+pip-wheel-metadata/
+
+# Build / packaging artifacts
+*.egg-info/
+dist/
+build/
+
+# Notebooks & test caches
+.ipynb_checkpoints/
+.pytest_cache/
+.mypy_cache/
+.ruff_cache/
+
+# Coverage & log files
+.coverage
+coverage.xml
+htmlcov/
+*.log
+
+# OS cruft
+.DS_Store
+
+# Hugging Face cache (set HF_HOME outside repo when possible)
+.cache/huggingface/

app.py

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+import gradio as gr
+import joblib
+import pandas as pd
+
+FEATURES = ["koi_period", "koi_duration", "koi_prad", "koi_depth"]
+model = joblib.load("model.joblib")
+
+def predict(koi_period, koi_duration, koi_prad, koi_depth):
+    X = pd.DataFrame([[koi_period, koi_duration, koi_prad, koi_depth]], columns=FEATURES)
+    y = model.predict(X)[0]
+    try:
+        p = model.predict_proba(X)[0][1]
+        label = "Candidate exoplanet" if int(y) == 1 else "Likely false positive"
+        return f"{label} | probability: {p:.2f}"
+    except Exception:
+        return "Candidate exoplanet" if int(y) == 1 else "Likely false positive"
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=[gr.Number(label=f) for f in FEATURES],
+    outputs=gr.Textbox(label="Prediction"),
+    title="Exoplanet Transit Classifier",
+    description="Enter KOI features to get a quick classification."
+)
+
+if __name__ == "__main__":
+    demo.launch()

model.joblib

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+version https://git-lfs.github.com/spec/v1
+oid sha256:83b1213f83598de11a3bb3c12d208bebf3a170be192e90c66fa772af528afb4c
+size 31447209

requirements.txt

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+gradio
+scikit-learn
+joblib
+numpy
+pandas