Create app.py

app.py

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+import gradio as gr
+import numpy as np
+from PIL import Image
+import requests
+
+import hopsworks
+import joblib
+
+project = hopsworks.login()
+fs = project.get_feature_store()
+
+
+mr = project.get_model_registry()
+model = mr.get_model("titanic_modal", version=1)
+model_dir = model.download()
+model = joblib.load(model_dir + "/titanic_model.pkl")
+
+CLASS_TO_VALUE = {
+    "1st class": "1",
+    "2nd class": "2",
+    "3rd class": "3",
+}
+
+PORT_TO_VALUE = {
+    "Cherbourg": "C",
+    "Queenstown": "Q",
+    "Southampton": "S",
+}
+
+
+def titanic(ticket_class, sex, port, fare, age, sibsp, parch):
+    input_list = []
+    input_list.append(CLASS_TO_VALUE[ticket_class])
+    input_list.append(sex)
+    input_list.append(PORT_TO_VALUE[port])
+    input_list.append(fare)
+    input_list.append(age)
+    input_list.append(sibsp)
+    input_list.append(parch)
+    # 'res' is a list of predictions returned as the label.
+    res = model.predict(np.asarray(input_list).reshape(1, -1))
+    # We add '[0]' to the result of the transformed 'res', because 'res' is a list, and we only want
+    # the first element.
+
+    if res:
+        url = "https://m.media-amazon.com/images/I/71M6k7ZQNcL._RI_.jpg"
+    else:
+        url = "https://thumbs.dreamstime.com/b/allvarlig-sten-med-skallen-34707626.jpg"
+
+    img = Image.open(requests.get(url, stream=True).raw)
+    return img
+
+demo = gr.Interface(
+    fn=titanic,
+    title="Titanic survival prediction",
+    description="Experiment with parameters to predict if the fictional passenger survived",
+    allow_flagging="never",
+    inputs=[
+        gr.inputs.Dropdown(["1st class", "2nd class", "3rd class"], value="1", label="Ticket class"),
+        gr.inputs.Dropdown(["female", "male"], label="Sex"),
+        gr.inputs.Dropdown(["Cherbourg", "Queenstown", "Southampton"], label="Port of Embarkation"),
+        gr.inputs.Number(default=50.0, label="Fare"),
+        gr.inputs.Number(default=20.0, label="Age"),
+        gr.inputs.Number(default=0, precision=0, label="Number of siblings/spouses aboard the Titanic"),
+        gr.inputs.Number(default=0, precision=0, label="Number of parents/children aboard the Titanic"),
+        ],
+    outputs=gr.Image(type="pil"))
+
+demo.launch()