Updated app at lör 11 nov 2023 16:18:44 CET

app.py

@@ -53,18 +53,31 @@ model = joblib.load(model_dir + "/iris_model.pkl")
 print("Gradio version:", gr.__version__)
 
 print("Configuring gradio interface...")
+# demo = gr.Interface(
+#    fn=iris,
+#    title="Iris Flower Predictive Analytics",
+#    description="Experiment with sepal/petal lengths/widths to predict which flower it is.",
+#    allow_flagging="never",
+#    inputs=[
+#        gr.inputs.Number(default=2.0, label="sepal length (cm)"),
+#        gr.inputs.Number(default=1.0, label="sepal width (cm)"),
+#        gr.inputs.Number(default=2.0, label="petal length (cm)"),
+#        gr.inputs.Number(default=1.0, label="petal width (cm)"),
+#    ],
+#    outputs=gr.Image(type="pil"))
+
 demo = gr.Interface(
     fn=iris,
     title="Iris Flower Predictive Analytics",
     description="Experiment with sepal/petal lengths/widths to predict which flower it is.",
-    allow_flagging="never",
     inputs=[
-        gr.inputs.Number(default=2.0, label="sepal length (cm)"),
-        gr.inputs.Number(default=1.0, label="sepal width (cm)"),
-        gr.inputs.Number(default=2.0, label="petal length (cm)"),
-        gr.inputs.Number(default=1.0, label="petal width (cm)"),
+        gr.Number(label="sepal length (cm)", value=2.0),
+        gr.Number(label="sepal width (cm)", value=1.0),
+        gr.Number(label="petal length (cm)", value=2.0),
+        gr.Number(label="petal width (cm)", value=1.0)
     ],
-    outputs=gr.Image(type="pil"))
+    outputs=gr.Image(type="pil"),
+)
 
 print("Launching gradio...")
 demo.launch(debug=True)
@@ -87,4 +100,4 @@ Traceback (most recent call last):
   File "/home/user/app/app.py", line 62, in <module>
     gr.inputs.Number(default=2.0, label="sepal length (cm)"),
 AttributeError: module 'gradio' has no attribute 'inputs
-"""
+"""

requirements.txt

@@ -1,6 +1,3 @@
 hopsworks
 joblib
 scikit-learn==1.1.1
-gradio==3.14.0
-pandas
-requests