Updated for wine

app.py

@@ -1,5 +1,53 @@
-def greet(name):
-    return "Hello " + name + "!!"
+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=3)
+model_dir = model.download()
+model = joblib.load(model_dir + "/wine_model.pkl")
+print("Model downloaded")
+
+def wine_quality(type, fixed_acidity, volatile_acidity, citric_acid, residual_sugar, chlorides, free_sulfur_dioxide, total_sulfur_dioxide, density, pH, sulphates, alcohol):
+    print("Calling function")
+    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', 'chlorides',])
+    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)
+        
+demo = gr.Interface(
+    fn=wine_quality,
+    title="Wine Quality Prediction",
+    description="Predict the quality of wine based on its features.",
+    allow_flagging="never",
+    inputs=[
+        gr.inputs.String(default="White", label="type"),
+        gr.inputs.Number(default=5.0, label="fixed acidity"),
+        gr.inputs.Number(default=5.0, label="volatile acidity"),
+        gr.inputs.Number(default=5.0, label="citric acid"),
+        gr.inputs.Number(default=5.0, label="residual sugar"),
+        gr.inputs.Number(default=5.0, label="chlorides"),
+        gr.inputs.Number(default=5.0, label="free sulfur dioxide"),
+        gr.inputs.Number(default=5.0, label="total sulfur dioxide"),
+        gr.inputs.Number(default=5.0, label="density"),
+        gr.inputs.Number(default=5.0, label="pH"),
+        gr.inputs.Number(default=5.0, label="sulphates"),
+        gr.inputs.Number(default=5.0, label="alcohol")
+        ],
+    outputs=gr.Image(type="pil"))
+
+demo.launch(debug=True)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()

requirements.txt

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