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| #!/usr/bin/env python | |
| # coding: utf-8 | |
| # In[1]: | |
| 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("tita_modal", version=1) | |
| model_dir = model.download() | |
| model = joblib.load(model_dir + "/tita_model.pkl") | |
| def tita(passengerid, age, sibsp, parch, fare, cabin_no, cabin_yes, embarked_c, embarked_q, embarked_s, sex_female, sex_male, pclass_1, pclass_2, pclass_3): | |
| input_list = [] | |
| input_list.append(passengerid) | |
| input_list.append(age) | |
| input_list.append(sibsp) | |
| input_list.append(parch) | |
| input_list.append(fare) | |
| input_list.append(cabin_no) | |
| input_list.append(cabin_yes) | |
| input_list.append(embarked_c) | |
| input_list.append(embarked_q) | |
| input_list.append(embarked_s) | |
| input_list.append(sex_female) | |
| input_list.append(sex_male) | |
| input_list.append(pclass_1) | |
| input_list.append(pclass_2) | |
| input_list.append(pclass_3) | |
| # '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): | |
| life = "alive" | |
| else: | |
| life = "dead" | |
| flower_url = "https://raw.githubusercontent.com/Man-bearpig/ID2223/main/" + life + ".png" | |
| img = Image.open(requests.get(flower_url, stream=True).raw) | |
| return img | |
| demo = gr.Interface( | |
| fn=tita, | |
| title="titanic", | |
| description="Experiment with sepal/petal lengths/widths to predict which flower it is.", | |
| allow_flagging="never", | |
| inputs=[ | |
| gr.inputs.Number(default=1.0, label="passengerid"), | |
| gr.inputs.Number(default=1.0, label="age"), | |
| gr.inputs.Number(default=1.0, label="sibsp"), | |
| gr.inputs.Number(default=1.0, label="parch"), | |
| gr.inputs.Number(default=1.0, label="fare"), | |
| gr.inputs.Number(default=1.0, label="cabin_no"), | |
| gr.inputs.Number(default=1.0, label="cabin_yes"), | |
| gr.inputs.Number(default=1.0, label="embarked_c"), | |
| gr.inputs.Number(default=1.0, label="embarked_q"), | |
| gr.inputs.Number(default=1.0, label="embarked_s"), | |
| gr.inputs.Number(default=1.0, label="sex_female"), | |
| gr.inputs.Number(default=1.0, label="sex_male"), | |
| gr.inputs.Number(default=1.0, label="pclass_1"), | |
| gr.inputs.Number(default=1.0, label="pclass_2"), | |
| gr.inputs.Number(default=1.0, label="pclass_3"), | |
| ], | |
| outputs=gr.Image(type="pil")) | |
| demo.launch() | |
| # In[ ]: | |