Create app.py

app.py

@@ -0,0 +1,57 @@
+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=1)
+model_dir = model.download()
+model = joblib.load(model_dir + "/titanic_model.pkl")
+
+
+def titanic(Pclass, Sex, Age, SibSp, Parch, Embarked):
+    input_list = []
+    
+    input_list.append(Pclass)
+    input_list.append(Sex)
+    input_list.append(Age)
+    input_list.append(SibSp)
+    input_list.append(Parch)
+    input_list.append(Embarked)
+    # 'res' is a list of predictions returned as the label.
+    res = model.predict(np.asarray(input_list).reshape(1, -1)) 
+    if res[0]==0:
+        link ="https://github.com/JeetNimbhorkar/TitanicLab1/raw/d9482baa7cbe47d0a8d5dcbe93e1ce7c0b2538a2/didnotsurvive.png"
+    else:
+        link = "https://github.com/JeetNimbhorkar/TitanicLab1/raw/d9482baa7cbe47d0a8d5dcbe93e1ce7c0b2538a2/survived.png"
+    # 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/featurestoreorg/serverless-ml-course/main/src/01-module/assets/" + pred + ".png"
+    titanic_url=link
+    img = Image.open(requests.get(titanic_url, stream=True).raw)            
+    return img
+        
+demo = gr.Interface(
+    fn=titanic,
+    title="Titanic survival Predictive Analytics",
+    description="Enter passanger details to predict survival in Titanic",
+    allow_flagging="never",
+    inputs=[
+        gr.inputs.Number(default=1.0, label="Pclass (Enter 1,2 or 3)"),
+        gr.inputs.Number(default=1.0, label="Sex (0 for Male, 1 for Female)"),
+        gr.inputs.Number(default=1.0, label="Age"),
+        gr.inputs.Number(default=1.0, label="SibSp (Enter 0,1,2,3,4,5 or 8)"),
+        gr.inputs.Number(default=1.0, label="Parch (Enter 0,1,2,3,4,5 or 6)"),
+        gr.inputs.Number(default=1.0, label="Embarked (Enter 0 for C, 1 for Q and 2 for S)")
+        ],
+    outputs=gr.Image(type="pil"))
+
+demo.launch()
+