Upload app.py

app.py

@@ -0,0 +1,73 @@
+import gradio as gr
+import numpy as np
+from PIL import Image
+import requests
+
+import hopsworks
+import joblib
+
+project = hopsworks.login()
+fs = project.get_feature_store()
+
+
+mr = project.get_model_registry()
+model = mr.get_model("titanic_modal", version=5)
+model_dir = model.download()
+model = joblib.load(model_dir + "/titanic_model.pkl")
+
+
+def titanic(sex, age, pclass, parch, embarked):
+    input_list = []
+    if pclass=='1 First Class':
+        input_list.append(1)
+    elif pclass=='2 Second Class':
+        input_list.append(2)
+    else:
+        input_list.append(3)
+   
+    if sex=='Female':
+        input_list.append(1)
+    else:
+        input_list.append(0)
+    
+    
+    input_list.append(age)
+    input_list.append(parch)
+    
+    if embarked=='C (Cherbourg)':
+        
+        input_list.append(2)
+    elif embarked=='S (Southampton)':
+        
+        input_list.append(1)
+    else:
+        
+        input_list.append(0)
+   
+    # 'res' is a list of predictions returned as the label.
+    res = model.predict(np.asarray(input_list,dtype=object).reshape(1,-1)) 
+    # We add '[0]' to the result of the transformed 'res', because 'res' is a list, and we only want 
+    # the first element.
+   
+    
+    flower_url = "https://raw.githubusercontent.com/avatar46/ID2223_lab1/main/images/" + str(res[0]) + ".png"
+    img = Image.open(requests.get(flower_url, stream=True).raw)            
+    return img
+        
+demo = gr.Interface(
+    fn=titanic,
+    title="Titanic Survival Predictive Analytics",
+    description="Experiment with different entries to predict if the person will survive.",
+    allow_flagging="never",
+    ### Create user interface with 5 inputs
+    inputs=[
+        gr.inputs.Radio(default='Female', label="Gender", choices=['Female','Male']),
+        gr.inputs.Slider(0,150,label='Age'),
+        gr.inputs.Radio(default='1 First Class', label="Passenger Class ", choices=['1 First Class', '2 Second Class', '3 Third Class']),
+        gr.inputs.Number(default=1.0, label="Parch: # of parents / children aboard the Titanic "),
+        gr.inputs.Radio(default='C (Cherbourg)', label="Embarkation Port", choices=['C (Cherbourg)', 'Q (Queenstown)', 'S (Southampton)']),
+        ],
+    outputs=gr.Image(type="pil"))
+
+demo.launch()
+