Create app.py

app.py

@@ -0,0 +1,28 @@
+import joblib
+import pandas
+from sklearn import model_selection
+import gradio as gr
+
+def greet(one,two, three, four, five, six, seven, eight):
+      # load the model from disk
+    loaded_model = joblib.load('/content/finalized_model.sav')
+    result = loaded_model.predict([[float(one),float(two), float(three), float(four), float(five), float(six), float(seven), float(eight)]])
+    return str(result)
+
+demo = gr.Interface(
+    fn=greet,
+    inputs=[
+        gr.Textbox(label="one"),
+        gr.Textbox(label="two"),
+        gr.Textbox(label="three"),
+        gr.Textbox(label="four"),
+        gr.Textbox(label="five"),
+        gr.Textbox(label="six"),
+        gr.Textbox(label="seven"),
+        gr.Textbox(label="eight"),
+        
+    ],
+    outputs="text",
+)
+
+demo.launch(debug=True)