Upload Penguin_App.py

Penguin_App.py

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+from cProfile import label
+from logging import PlaceHolder
+from operator import mod
+import gradio as gr
+import pandas as pd
+import numpy as np
+from joblib import load 
+
+def predict_bodymass(
+    FlipperLength,
+):
+    model=load("PENGUIN\penguin_predictor.jb")
+
+    # Create dict array from parameters
+    data={
+        "FlipperLength":[FlipperLength]
+    }
+
+    xin=pd.DataFrame(data)
+    bodymass=model.predict(xin)
+    return bodymass[0]
+
+ui=gr.Interface(
+    fn=predict_bodymass,
+    inputs=[
+        gr.inputs.Textbox(placeholder="Enter Flipper Length(mm)",numeric=True,label="FLIPPER LENGTH")
+    ],
+
+    title="PENGUIN REGRESSION",
+    outputs="text",
+    examples=[[195],
+    [183]]
+
+)
+
+if __name__=="__main__":
+    ui.launch(share=True)