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import gradio as gr |
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import numpy as np |
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from PIL import Image |
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import requests |
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import xgboost |
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import hopsworks |
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import joblib |
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project = hopsworks.login() |
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fs = project.get_feature_store() |
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mr = project.get_model_registry() |
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model = mr.get_model("titanic_modal", version=3) |
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model_dir = model.download() |
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model = joblib.load(model_dir + "/titanic_model.pkl") |
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def iris(Pclass, Sex, SibSp, Parch, Embarked, Age, Fare_type): |
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input_list = [] |
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input_list.append(Pclass) |
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if Sex=='male': |
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input_list.append(1) |
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else: |
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input_list.append(0) |
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input_list.append(SibSp) |
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input_list.append(Parch) |
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if Embarked=='S': |
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input_list.append(0) |
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elif Embarked=='C': |
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input_list.append(1) |
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else: |
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input_list.append(2) |
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if Age <= 12: |
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one_hot_age = [1, 0, 0, 0] |
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for i in one_hot_age: |
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input_list.append(i) |
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elif Age <= 19: |
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one_hot_age = [0, 1, 0, 0] |
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for i in one_hot_age: |
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input_list.append(i) |
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elif Age <= 39: |
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one_hot_age = [0, 0, 1, 0] |
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for i in one_hot_age: |
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input_list.append(i) |
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else: |
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one_hot_age = [0, 0, 0, 1] |
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for i in one_hot_age: |
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input_list.append(i) |
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if Fare_type == "low": |
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one_hot_fare = [1, 0, 0, 0] |
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for i in one_hot_fare: |
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input_list.append(i) |
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elif Fare_type == "medium-low": |
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one_hot_fare = [0, 1, 0, 0] |
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for i in one_hot_fare: |
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input_list.append(i) |
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elif Fare_type == "medium": |
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one_hot_fare = [0, 0, 1, 0] |
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for i in one_hot_fare: |
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input_list.append(i) |
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else: |
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one_hot_fare = [0, 0, 0, 1] |
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for i in one_hot_fare: |
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input_list.append(i) |
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res = model.predict(np.asarray(input_list).reshape(1, -1)) |
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if res[0] == 0: |
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img_string = "dead" |
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else: |
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img_string = "survived" |
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passenger_url = "https://raw.githubusercontent.com/santroma1/id2223_lab1_titanic/main/assets/" + img_string + ".jpg" |
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img = Image.open(requests.get(passenger_url, stream=True).raw) |
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return img |
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demo = gr.Interface( |
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fn=iris, |
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title="Titanic Predictive Analytics", |
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description="Experiment to predict whether a passanger survived or not.", |
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allow_flagging="never", |
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inputs=[ |
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gr.inputs.Number(default=1.0, label="Cabin class (1, 2, 3)"), |
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gr.Textbox(default='male', label="Sex (male, female)"), |
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gr.inputs.Number(default=1.0, label="SibSp (number of siblings/spouses aboard)"), |
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gr.inputs.Number(default=1.0, label="Parch (number of parents/children aboard)"), |
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gr.Textbox(default="S", label="Port of Embarkation (C = Cherbourg, Q = Queenstown, S = Southampton)"), |
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gr.inputs.Number(default=1.0, label="Age"), |
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gr.Textbox(default="low", label="Fare_type (low, medium-low, medium, high)"), |
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], |
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outputs=gr.Image(type="pil")) |
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demo.launch() |
