Add application file

app.py

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+import gradio as gr
+from PIL import Image
+import requests
+import hopsworks
+import joblib
+import pandas as pd
+
+project = hopsworks.login()
+fs = project.get_feature_store()
+
+
+mr = project.get_model_registry()
+model = mr.get_model("wine_model", version=1)
+model_dir = model.download()
+model = joblib.load(model_dir + "/wine_model.pkl")
+print("Model downloaded")
+
+def wine_predictor(fixed_acidity, volatile_acidity, citric_acid, residual_sugar,
+                  chlorides,total_sulfur_dioxide, pH, sulphates,
+                  alcohol, sulfur_dioxide_ratio, isRedWine):
+    
+    type_red = isRedWine
+    type_white = not type_red
+
+    df = pd.DataFrame([[fixed_acidity, volatile_acidity, citric_acid, residual_sugar,
+                        chlorides,total_sulfur_dioxide, pH, sulphates,
+                        alcohol, type_red, type_white, sulfur_dioxide_ratio]], 
+                      columns=["fixed_acidity", "volatile_acidity", "citric_acid", "residual_sugar",
+                                "chlorides","total_sulfur_dioxide", "ph", "sulphates",
+                                "alcohol","type_red", "type_white","sulfur_dioxide_ratio"])
+   
+   
+    res = model.predict(df) 
+   
+    
+    return res[0]
+        
+demo = gr.Interface(
+    fn=wine_predictor,
+    title="Wine Predictive Analytics",
+    description="Experiment with sepal/petal lengths/widths to predict which flower it is.",
+    allow_flagging="never",
+    inputs=[
+        gr.inputs.Number(default=7.0, label="fixed acidity"),
+        gr.inputs.Number(default=0.3, label="volatile acidity"),
+        gr.inputs.Number(default=0.3, label="citric acid"),
+        gr.inputs.Number(default=5.0, label="residual sugar"),
+        gr.inputs.Number(default=0.05, label="chlorides"),
+        gr.inputs.Number(default=114, label="total_sulfur_dioxide"),
+        gr.inputs.Number(default=3.2, label="pH"),
+        gr.inputs.Number(default=0.5, label="sulphates"),
+        gr.inputs.Number(default=10, label="alcohol"),
+        gr.inputs.Number(default=0.3, label="sulfur dioxide free-total ratio"),
+        gr.inputs.Checkbox(label="Red wine?")
+        ],
+    outputs=gr.Textbox(placeholder="Quality"))
+
+demo.launch(debug=True)
+

requirements.txt

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+hopsworks
+joblib
+scikit-learn==1.1.1