Add application file

app.py

@@ -0,0 +1,45 @@
+from cProfile import label
+from curses.textpad import Textbox
+from logging import PlaceHolder
+from unicodedata import numeric
+import gradio as gr
+import pandas as pd
+import numpy as np
+from joblib import load
+
+def predict_profit(
+    RandDSpend,Administration,MarketingSpend,State
+):
+    model=load("50_STARTUP\startup.jb")
+
+    # Create dict array from parameters
+    data={
+        "RandDSpend":[RandDSpend],
+        "Administration":[Administration],
+        "MarketingSpend":[MarketingSpend],
+        "State":[State]
+    }
+
+    xin=pd.DataFrame(data)
+    Profit=model.predict(xin)
+    return Profit[0]
+
+ui=gr.Interface(
+    fn=predict_profit,
+    inputs=[
+        gr.inputs.Textbox(placeholder="R&D Amount",numeric=True,label="R&D SPEND"),
+        gr.inputs.Textbox(placeholder="Administration Amount",numeric=True,label="ADMINISTRATION"),
+        gr.inputs.Textbox(placeholder="Marketing Amount",numeric=True,label="MARKETING SPEND"),
+        gr.Dropdown(["New York","California","Florida"],label="STATE"),
+    ],
+
+    title="STARTUP PROFIT PREDICTOR",
+    outputs="text",
+    examples=[[165349.2,136897.8,471784.1,"New York"],
+    [67532.53,105751.03,304768.73,"Florida"],
+    [64664.71,139553.16,137962.62,"California"]]
+
+)
+
+if __name__=="__main__":
+    ui.launch(share=True)