Upload 3 files

app.py

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+import gradio as gr
+import pandas as pd
+import joblib
+
+# Load your trained pipeline
+model = joblib.load("full_pipeline.pkl")
+
+def predict_from_csv(file):
+    df = pd.read_csv(file.name)
+    preds = model.predict(df)
+    return pd.DataFrame({"prediction": preds})
+
+iface = gr.Interface(
+    fn=predict_from_csv,
+    inputs=gr.File(file_types=[".csv"]),
+    outputs="dataframe",
+    title="CSV Classifier",
+    description="Upload a CSV file with the correct columns, and the model will predict."
+)
+
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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

stack_model_Kepler2.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5926e8ef3941084aeb399b5949c1a4a094c624656ed1522b8257f55c0ca5ceab
+size 160902955