app v1

app.py

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+import gradio as gr
+import joblib as jb
+
+def predict(sex, age, pclass):
+    model = jb.load('model.pkl')
+    pclass = int(pclass)
+    p = model.predict_proba([[sex, age, pclass]])[0]
+
+    return {"Did not survive": p[0], "Survived": p[1]}
+
+demo = gr.Interface(fn=predict,
+                    inputs=[gr.Dropdown(choices=["male", "female"], type="index"), 
+                            "number", 
+                            gr.Dropdown(choices=["1", "2", "3"], type="value")
+                            ],
+                    outputs="label")
+demo.launch()

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f7d8e5f110447e7d9d95e12f33e3f5910ff8edff259c3b178a4227505a693fed
+size 13759

requirements.txt

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+joblib
+scikit-learn