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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=2) | |
| model_dir = model.download() | |
| model = joblib.load(model_dir + "/titanic_model.pkl") | |
| def titanic_passanger(age, sex, sibsp, parch, fare, embarked, pclass): | |
| input_list = [] | |
| sex_value = 1 if sex=='female' else 0 | |
| pclass_value = int(pclass) | |
| if embarked == 'S': | |
| embarked_value = 0 | |
| elif embarked == 'C': | |
| embarked_value = 1 | |
| else: | |
| embarked_value = 2 | |
| input_list.append(pclass_value) | |
| input_list.append(sex_value) | |
| input_list.append(age) | |
| input_list.append(sibsp) | |
| input_list.append(parch) | |
| input_list.append(fare) | |
| input_list.append(embarked_value) | |
| # '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. | |
| img_urls=["https://uxwing.com/wp-content/themes/uxwing/download/health-sickness-organs/skull-icon.png", "https://uxwing.com/wp-content/themes/uxwing/download/emoji-emoticon/happy-icon.png"] | |
| img_url = img_urls[res[0]] | |
| img = Image.open(requests.get(img_url, stream=True).raw) | |
| return img | |
| demo = gr.Interface( | |
| fn=titanic_passanger, | |
| title="Titanic Survivor Predictive Analytics", | |
| description="Experiment with the features to predict survivor status.", | |
| allow_flagging="never", | |
| inputs=[ | |
| gr.inputs.Number(default=22.0, label="Age"), | |
| gr.inputs.Radio(['female', 'male'], label="Sex"), | |
| gr.inputs.Number(default=1.0, label="Number of siblings and spouses aboard"), | |
| gr.inputs.Number(default=1.0, label="Number of parents and children aboard"), | |
| gr.inputs.Number(default=1.0, label="Fare"), | |
| gr.inputs.Radio(['S', 'C', 'Q'], label="Port embarked"), | |
| gr.inputs.Radio(['1', '2', '3'], label="Ticket class"), | |
| ], | |
| outputs=gr.Image(type="pil")) | |
| demo.launch() | |