diff --git a/in_cluster/sklearn/iris/app.py b/in_cluster/sklearn/iris/app.py
new file mode 100644
index 0000000..56beb5b
--- /dev/null
+++ b/in_cluster/sklearn/iris/app.py
@@ -0,0 +1,57 @@
+import streamlit as st
+import pandas as pd
+import joblib
+import argparse
+
+from PIL import Image
+
+
+def load_model(model_path: str):
+    model = open(model_path, "rb")
+    return joblib.load(model)
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        '--model-path',
+        type=str,
+    )
+    args = parser.parse_args()
+
+    setosa = Image.open("images/iris-setosa.png")
+    versicolor = Image.open("images/iris-versicolor.png")
+    virginica = Image.open("images/iris-virginica.png")
+    classifier = load_model(args.model_path)
+    print(classifier)
+
+    st.title("Iris flower species Classification")
+    st.sidebar.title("Features")
+    parameter_list = [
+        "Sepal length (cm)",
+        "Sepal Width (cm)",
+        "Petal length (cm)",
+        "Petal Width (cm)"
+    ]
+    sliders = []
+    for parameter, parameter_df in zip(parameter_list, ['5.2', '3.2', '4.2', '1.2']):
+        values = st.sidebar.slider(
+            label=parameter,
+            key=parameter,
+            value=float(parameter_df),
+            min_value=0.0,
+            max_value=8.0,
+            step=0.1
+        )
+        sliders.append(values)
+
+    input_variables = pd.DataFrame([sliders], columns=parameter_list)
+
+    prediction = classifier.predict(input_variables)
+    if prediction == 0:
+        st.image(setosa)
+    elif prediction == 1:
+        st.image(versicolor)
+    else:
+        st.image(virginica)
+
diff --git a/in_cluster/sklearn/iris/hyper-polyaxonfile.yml b/in_cluster/sklearn/iris/hyper-polyaxonfile.yml
new file mode 100644
index 0000000..69b353b
--- /dev/null
+++ b/in_cluster/sklearn/iris/hyper-polyaxonfile.yml
@@ -0,0 +1,19 @@
+version: 1.1
+kind: operation
+matrix:
+  kind: random
+  numRuns: 15
+  params:
+    n_neighbors:
+      kind: range
+      value: "3:50:5"
+    leaf_size:
+      kind: choice
+      value: [5, 10, 20, 30]
+    metric:
+      kind: pchoice
+      value: [[minkowski, 0.8], [euclidean, 0.2]]
+    test_size:
+      kind: choice
+      value: [0.2, 0.3, 0.4]
+urlRef: https://raw.githubusercontent.com/polyaxon/polyaxon-examples/master/in_cluster/sklearn/iris/polyaxonfile.yml
diff --git a/in_cluster/sklearn/iris/images/iris-setosa.png b/in_cluster/sklearn/iris/images/iris-setosa.png
new file mode 100644
index 0000000..8a9c80a
Binary files /dev/null and b/in_cluster/sklearn/iris/images/iris-setosa.png differ
diff --git a/in_cluster/sklearn/iris/images/iris-versicolor.png b/in_cluster/sklearn/iris/images/iris-versicolor.png
new file mode 100644
index 0000000..e6c54b3
Binary files /dev/null and b/in_cluster/sklearn/iris/images/iris-versicolor.png differ
diff --git a/in_cluster/sklearn/iris/images/iris-virginica.png b/in_cluster/sklearn/iris/images/iris-virginica.png
new file mode 100644
index 0000000..0aa5fe1
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diff --git a/in_cluster/sklearn/iris/streamlit-polyaxonfile.yml b/in_cluster/sklearn/iris/streamlit-polyaxonfile.yml
new file mode 100644
index 0000000..e32fe5c
--- /dev/null
+++ b/in_cluster/sklearn/iris/streamlit-polyaxonfile.yml
@@ -0,0 +1,22 @@
+version: 1.1
+kind: component
+name: iris-classification
+tags: ["streamlit", "app"]
+
+inputs:
+- name: uuid
+  isOptional: true
+  type: str
+
+run:
+  kind: service
+  ports: [8501]
+  rewritePath: true
+  init:
+  - git: {"url": "https://github.com/polyaxon/polyaxon-examples"}
+  - artifacts: {"files": ["{{ uuid }}/assets/model/iris-model.joblib"]}
+  container:
+    image: polyaxon/polyaxon-contrib
+    workingDir: "{{ globals.artifacts_path }}/polyaxon-examples/in_cluster/sklearn/iris"
+    command: [streamlit, run, app.py]
+    args: ["--", "--model-path={{ globals.artifacts_path }}/{{ uuid }}/assets/model/iris-model.joblib"]