try with lab1 code

app.py

@@ -1,7 +1,44 @@
 import gradio as gr
+import hopsworks
+import joblib
+import pandas as pd
 
-def greet(name):
-    return "Hello " + name + "!!"
+project = hopsworks.login()
+# fs = project.get_feature_store()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+print("trying to dl model")
+mr = project.get_model_registry()
+model = mr.get_model("wine_model", version=1)
+model_dir = model.download()
+model = joblib.load(model_dir + "/diabetes_model.pkl")
+print("Model downloaded")
+
+
+def wine(age, bmi, hba1c_level, blood_glucose_level):
+    print("Calling wine function")
+    df = pd.DataFrame(
+        [[age, bmi, hba1c_level, blood_glucose_level]],
+        columns=["age", "bmi", "hba1c_level", "blood_glucose_level"],
+    )
+    print("Predicting")
+    print(df)
+    res = model.predict(df)
+    print(res)
+    return res
+
+
+demo = gr.Interface(
+    fn=wine,
+    title="Diabetes Prediction",
+    description="Fill these values with yours",
+    allow_flagging="never",
+    inputs=[
+        gr.Number(label="age"),
+        gr.Number(label="bmi"),
+        gr.Number(label="hba1c_level"),
+        gr.Number(label="blood_glucose_level"),
+    ],
+    outputs=gr.Number(label="diabetes"),
+)
+
+demo.launch(debug=True)

requirements.txt

@@ -0,0 +1,4 @@
+import gradio as gr
+import hopsworks
+import joblib
+import pandas as pd