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README.md

@@ -1,12 +1,13 @@
 ---
 title: Wine
-emoji: 🏃
-colorFrom: green
+emoji: 🐢
+colorFrom: pink
 colorTo: green
 sdk: gradio
-sdk_version: 4.1.2
+sdk_version: 3.5
 app_file: app.py
 pinned: false
+license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,51 @@
+import gradio as gr
+from PIL import Image, ImageDraw, ImageFont
+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(fixed_acidity, citric_acid, type_white, chlorides, volatile_acidity, density, alcohol):
+    print("Calling function")
+    #     df = pd.DataFrame([[sepal_length],[sepal_width],[petal_length],[petal_width]],
+    df = pd.DataFrame([[fixed_acidity, citric_acid, type_white, chlorides, volatile_acidity, density, alcohol]],
+                      columns=['fixed_acidity', 'citric_acid', 'type_white', 'chlorides', 'volatile_acidity', 'density', 'alcohol'])
+    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)
+    return str(res[0])
+
+demo = gr.Interface(
+    fn=wine,
+    title="Wine Quality Predictive Analytics",
+    description="Experiment with fixed_acidity, citric_acid, type, chlorides, volatile_acidity, density, alcohol"
+                "to predict of which quality the wine is.",
+    allow_flagging="never",
+    inputs=[
+        gr.inputs.Number(default=7.2, label="fixed acidity"),
+        gr.inputs.Number(default=0.34, label="volatile acidity"),
+        gr.inputs.Number(default=0.32, label="citric acid"),
+        gr.inputs.Textbox(default="red", label="type (red, white)"),
+        gr.inputs.Number(default=10.5, label="alcohol"),
+        gr.inputs.Number(default=0.99, label="density"),
+        gr.inputs.Number(default=0.06, label="chlorides"),
+    ],
+    outputs="text")
+
+demo.launch(debug=True)
+

requirements.txt

@@ -0,0 +1,4 @@
+hopsworks
+joblib
+scikit-learn==1.1.1
+httpx==0.24.1