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| import gradio as gr | |
| from PIL import Image | |
| import requests | |
| import hopsworks | |
| import joblib | |
| import pandas as pd | |
| import os | |
| hopsworks_iris_api_key = os.environ["HOPSWORKS_API_LAB1"] | |
| project = hopsworks.login(api_key_value = hopsworks_iris_api_key) | |
| fs = project.get_feature_store() | |
| # Download the pre-trained model and load it | |
| mr = project.get_model_registry() | |
| model = mr.get_model("wine_model_feature_creator", version=1) | |
| model_dir = model.download() | |
| model = joblib.load(model_dir + "/wine_model_feature_creator.pkl") | |
| print("Model downloaded") | |
| def iris(type, fixed_acid, volatile_acid, citric_acid, residual_sugar, chlorides, free_sd, total_sd, density, ph, sulphates, alcohol): | |
| print("Calling function") | |
| colour = 0 | |
| if fixed_acid == 'white': | |
| colour = 1 | |
| else: | |
| colour = 2 | |
| df = pd.DataFrame([[colour, fixed_acid, volatile_acid, citric_acid, residual_sugar, chlorides, free_sd, density, ph, sulphates, alcohol]], | |
| columns=['type', 'fixed_acid', 'volatile_acid', 'citric_acid', 'residual_sugar', 'chlorides', 'free_sd', 'density', 'ph', 'sulphates', 'alcohol']) | |
| print("Predicting") | |
| print(df) | |
| # 'res' is a list of predictions returned as the label. | |
| res = model.predict(df) | |
| # We add '[0]' to the result of the transformed 'res', because 'res' is a list, and we only want | |
| # the first element. | |
| #print("Res: {0}").format(res) | |
| print(res[0]) | |
| flower_url = "https://raw.githubusercontent.com/SebastianoMeneghin/fotografie_iris/main/" + str(res[0]) + ".png" | |
| img = Image.open(requests.get(flower_url, stream=True).raw) | |
| print(img) | |
| return img | |
| demo = gr.Interface( | |
| fn=iris, | |
| title="Test Wine Quality", | |
| description="Experiment with wine characteristics to predict which its quality is!", | |
| allow_flagging="never", | |
| inputs=[ | |
| gr.Dropdown(label="Type", choices=["white", "red"]), | |
| gr.Number(label="Fixed Acidity"), | |
| gr.Number(label="Volatice Acidity"), | |
| gr.Number(label="Citric Acid"), | |
| gr.Number(label="Residual Sugar"), | |
| gr.Number(label="Chlorides"), | |
| gr.Number(label="Free Sulfur Dioxide"), | |
| gr.Number(label="Total Sulfur Dioxide"), | |
| gr.Number(label="Density"), | |
| gr.Number(label="pH"), | |
| gr.Number(label="sulphates"), | |
| gr.Number(label="alcohol"), | |
| ], | |
| outputs=gr.Image(type="pil")) | |
| demo.launch(debug=True) |