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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") | |
| def titanic(Sex, Age, Pclass, Fare, Parch, SibSp, Embarked): | |
| input_list = [] | |
| input_list.append(Sex) | |
| input_list.append(Age) | |
| input_list.append(Pclass + 1.0) | |
| input_list.append(Fare) | |
| input_list.append(Parch) | |
| input_list.append(SibSp) | |
| input_list.append(Embarked) | |
| # '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. | |
| pic_url = "https://raw.githubusercontent.com/backgroundhumeur/id2223_labs/main/src/titanic/assets/titanic_" + str(res[0]) + ".jpg" | |
| img = Image.open(requests.get(pic_url, stream=True).raw) | |
| return img | |
| demo = gr.Interface( | |
| fn=titanic, | |
| title="Titanic Passenger Survival Predictive Analytics", | |
| description="Experiment with different characteristics of a passenger to predict whether he would have survived if he were aboard the titanic.", | |
| allow_flagging="never", | |
| inputs=[ | |
| gr.inputs.Dropdown(choices=["male","female"],type='index', default="male", label="Sex"), | |
| gr.inputs.Slider(minimum=1.0,maximum=100.0,default=28.0,step=1.0, label="Age"), | |
| gr.inputs.Dropdown(choices=["First", "Second","Third"],type='index', default="First", label="Ticket class"), | |
| gr.inputs.Number(default=14.4542, label="Fare ($)"), | |
| gr.inputs.Number(default=0.0, label="Number of parents/children aboard"), | |
| gr.inputs.Number(default=0.0, label="Number of siblings/spouses aboard"), | |
| gr.inputs.Dropdown(choices=["S","C", "Q"],type='index', default="S", label="Port of Embarkation") | |
| ], | |
| outputs=gr.Image(type="pil")) | |
| demo.launch() | |