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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_Code,Pclass,Embarked_Code,Title_Code,FamilySize,AgeBin_Code,FareBin_Code): | |
| input_list = [] | |
| input_list.append(Sex_Code) | |
| input_list.append(Pclass) | |
| input_list.append(Embarked_Code) | |
| input_list.append(Title_Code) | |
| input_list.append(FamilySize) | |
| input_list.append(AgeBin_Code) | |
| input_list.append(FareBin_Code) | |
| # '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[0]==1): | |
| flower_url = "https://images.pexels.com/photos/8384595/pexels-photo-8384595.jpeg?auto=compress&cs=tinysrgb&w=600" | |
| elif(res[0]==0): | |
| flower_url = "https://images.pexels.com/photos/1121906/pexels-photo-1121906.jpeg?auto=compress&cs=tinysrgb&w=600" | |
| img = Image.open(requests.get(flower_url, stream=True).raw) | |
| return img | |
| demo = gr.Interface( | |
| fn=titanic, | |
| title="Titanic Survivor Predictive Analytics", | |
| description="Experiment with input parameters to predict survival", | |
| allow_flagging="never", | |
| inputs=[ | |
| #0= female 1=male | |
| gr.Radio(["Female", "Male"], label="Gender", type="index"), | |
| gr.Radio([1, 2, 3], label="Ticket class", type = "value"), | |
| gr.Radio([1, 2, 3], label="Embarked from", type="index"), | |
| gr.Radio(["Master", "miscellaneous", "Miss", "Mr", "Mrs" ], label="Title", type="index"), | |
| gr.Radio([1,2,3,4,5,6,7,8,11], label="Family size", type="value"), | |
| gr.Radio(["age<=16", "16<age<=32", "32<age<=48", "48<age<=64", "64<age<=80"], label="Age", type="index"), | |
| gr.Radio(["Low", "Medium", "High", "Very high"], label="Fare", type="index"), | |
| ], | |
| outputs=gr.Image(type="pil") | |
| ) | |
| demo.launch() | |