initial

app.py

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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("wine_model", version=1)
+model_dir = model.download()
+model = joblib.load(model_dir + "/wine_model.pkl")
+
+
+def wine(fixed_acidity,
+    volatile_acidity,
+    citric_acid,
+    residual_sugar,
+    chlorides,
+    free_sulfur_dioxide,
+    total_sulfur_dioxide,
+    density,
+    pH,
+    sulphates,
+    alcohol,
+    white):
+    input_list = []
+
+    input_list.append(fixed_acidity)
+    input_list.append(volatile_acidity)
+    input_list.append(citric_acid)
+    input_list.append(residual_sugar)
+    input_list.append(chlorides)
+    input_list.append(free_sulfur_dioxide)
+    input_list.append(total_sulfur_dioxide)
+    input_list.append(density)
+    input_list.append(pH)
+    input_list.append(sulphates)
+    input_list.append(alcohol)
+    input_list.append(white)
+
+    res = model.predict(np.asarray(input_list).reshape(1, -1))            
+    return res
+        
+demo = gr.Interface(
+    fn=wine,
+    title="Wine prediction",
+    description="Wine quality prediction",
+    allow_flagging="never",
+    inputs=[
+        gr.inputs.Number(default=1.0, label="fixed_acidity"),
+        gr.inputs.Number(default=1.0, label="volatile_acidity"),
+        gr.inputs.Number(default=1.0, label="citric_acid"),
+        gr.inputs.Number(default=1.0, label="residual_sugar"),
+        gr.inputs.Number(default=1.0, label="chlorides"),
+        gr.inputs.Number(default=1.0, label="free_sulfur_dioxide"),
+        gr.inputs.Number(default=1.0, label="total_sulfur_dioxide"),
+        gr.inputs.Number(default=1.0, label="density"),
+        gr.inputs.Number(default=1.0, label="pH"),
+        gr.inputs.Number(default=1.0, label="sulphates"),
+        gr.inputs.Number(default=1.0, label="alcohol"),
+        gr.inputs.Number(default=1.0, label="white")
+        ],
+    outputs=gr.Text(value="none")
+    )
+
+
+demo.launch()