First commit

app.py

@@ -0,0 +1,72 @@
+import gradio as gr
+from PIL import Image
+import requests
+import hopsworks as hw
+import joblib
+import pandas as pd
+
+project = hw.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 Loaded...")
+
+def wine(type,
+         fixed_acidity,
+         volatile_acidity,
+         citric_acid,
+         residual_sugar,
+         chlorides,
+         free_sulfur_dioxide,
+         total_sulfur_dioxide,
+         density,
+         ph,
+         sulphates,
+         alcohol):
+    print("Lets taste wine?")
+    
+    df = pd.DataFrame([[type, fixed_acidity, volatile_acidity,
+                        citric_acid, residual_sugar,
+                        chlorides, free_sulfur_dioxide,
+                        total_sulfur_dioxide,
+                        density, ph, sulphates, alcohol]],
+                      columns = ['type', 'fixed_acidity', 'volatile_acidity',
+                                 'citric_acid', 'residual_sugar', 'chlroides',
+                                 'free_sulfur_dioxide', 'total_sulfur_dioxide',
+                                 'ph', 'sulphates', 'alcohol'])
+    
+    print("Predicting...")
+    print(df)
+    
+    res = model.predict(df)
+    print(res)
+    
+    return int(res.round()) + 3
+
+demo = gr.Interface(
+    fn = wine,
+    title = 'Wine Quality prediction',
+    description = '',
+    allow_flagging = 'never',
+    inputs = [
+        gr.inputs.Number(default=0, label="type"),
+        gr.inputs.Number(default=0.67, label="fixed_acidity"),
+        gr.inputs.Number(default=-0.38, label="volatile_acidity"),
+        gr.inputs.Number(defalt=0.55, label="citric_acid"),
+        gr.inputs.Number(default=0.4, label="residual_sugar"),
+        gr.inputs.Number(default=-0.18, label="chlroides"),
+        gr.inputs.Number(default=-0.0033, label="free_sulfur_dioxide"),
+        gr.inputs.Number(default=-0.3, label="total_sulfur_dioxide"),
+        gr.inputs.Number(default=0.19, label="density"),
+        gr.inputs.Number(default=0.22, label="ph"),
+        gr.inputs.Number(default=-0.62, label="sulphates"),
+        gr.inputs.Number(default=-0.37, label="alcohol")
+    ],
+    outputs = ['Quality']# output's an integer from 3-9
+)
+
+demo.launch(debug=True)

requirements.txt

@@ -0,0 +1,3 @@
+hopsworks
+joblib
+scikit-learn==1.1.1