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app.py

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+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+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("tita_modal", version=1)
+model_dir = model.download()
+model = joblib.load(model_dir + "/tita_model.pkl")
+
+
+def tita(passengerid, age, sibsp, parch, fare, cabin_no, cabin_yes, embarked_c, embarked_q, embarked_s, sex_female, sex_male, pclass_1, pclass_2, pclass_3):
+    input_list = []
+    input_list.append(passengerid)
+    input_list.append(age)
+    input_list.append(sibsp)
+    input_list.append(parch)
+    input_list.append(fare)
+    input_list.append(cabin_no)
+    input_list.append(cabin_yes)
+    input_list.append(embarked_c)
+    input_list.append(embarked_q)
+    input_list.append(embarked_s)
+    input_list.append(sex_female)
+    input_list.append(sex_male)
+    input_list.append(pclass_1)
+    input_list.append(pclass_2)
+    input_list.append(pclass_3)
+    # 'res' is a list of predictions returned as the label.
+    res = model.predict(np.asarray(input_list).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.
+    if (res[0] == 1):
+        life = "alive"
+    else:
+        life = "dead"
+    flower_url = "https://raw.githubusercontent.com/Man-bearpig/ID2223/main/" + life + ".png"
+    img = Image.open(requests.get(flower_url, stream=True).raw)            
+    return img
+        
+demo = gr.Interface(
+    fn=tita,
+    title="titanic",
+    description="Experiment with sepal/petal lengths/widths to predict which flower it is.",
+    allow_flagging="never",
+    inputs=[
+        gr.inputs.Number(default=1.0, label="passengerid"),
+        gr.inputs.Number(default=1.0, label="age"),
+        gr.inputs.Number(default=1.0, label="sibsp"),
+        gr.inputs.Number(default=1.0, label="parch"),
+        gr.inputs.Number(default=1.0, label="fare"),
+        gr.inputs.Number(default=1.0, label="cabin_no"),
+        gr.inputs.Number(default=1.0, label="cabin_yes"),
+        gr.inputs.Number(default=1.0, label="embarked_c"),
+        gr.inputs.Number(default=1.0, label="embarked_q"),
+        gr.inputs.Number(default=1.0, label="embarked_s"),
+        gr.inputs.Number(default=1.0, label="sex_female"),
+        gr.inputs.Number(default=1.0, label="sex_male"),
+        gr.inputs.Number(default=1.0, label="pclass_1"),
+        gr.inputs.Number(default=1.0, label="pclass_2"),
+        gr.inputs.Number(default=1.0, label="pclass_3"),
+        
+        ],
+    outputs=gr.Image(type="pil"))
+
+demo.launch()
+
+
+# In[ ]:
+
+
+
+

requirements.txt

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+hopsworks
+joblib
+scikit-learn