Create app..py

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(Type, valoatile_acidity, citric_acid, residual_sugar, chlorides, free_sulfur_dioxide,
+         total_sulfur_dioxide, density, ph, suplhates, alcohol):
+    #Maps type to int with default white
+    if Type=="red":
+        Type=1
+    else:
+        Type=0
+
+
+    print("Calling function") 
+    df = pd.DataFrame([[Type, volatile_acidity, citric_acid, residual_sugar, chlorides, free_sulfur_dioxide,
+                        total_sulfur_dioxide, density, ph, sulphates, alcohol]], 
+                      columns=["type", "volatile_acidity", "citric_acid", "residual_sugar", "chlorides",
+                        "free_sulfur_dioxide", "total_sulfur_dioxide", "density", "ph", "sulphates", "alcohol"])
+    print("Predicting")
+    print(df)
+    res = model.predict(df) 
+    print(res)
+          
+    return "Predicted quality: "+str(res[0])
+        
+demo = gr.Interface(
+    fn=wine,
+    title="Wine Quality Predictive Analytics",
+    description="Experiment with features to predict wine quality.",
+    allow_flagging="never",
+    inputs=[
+        ge.inputs.Textbox(default="white", label="Type"),
+        gr.inputs.Number(default=0.34, label="Volatile acidity"),
+        gr.inputs.Number(default=0.32, label="Citric acid"),
+        gr.inputs.Number(default=5.4, label="Residual sugar"),
+        gr.inputs.Number(default=0.056, label="Chlorides"),
+        gr.inputs.Number(default=31.0, label="Free sulfur dioxide"),
+        gr.inputs.Number(default=116.0, label="Total sulfur dioxide"),
+        gr.inputs.Number(default=0.995, label="Density"),
+        gr.inputs.Number(default=3.2, label="pH"),
+        gr.inputs.Number(default=0.53, label="Sulphates"),
+        gr.inputs.Number(default=10.5, label="Alcohol precentage"),
+        gr.inputs.Number(default=0.056, label="Chlorides"),
+        ],
+    outputs=gr.Label())
+
+demo.launch(debug=True)
+