Update app.py

app.py

@@ -1,37 +1,32 @@
-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 
+from joblib import load
 
-def predict_bodymass(
-    FlipperLength,
-):
-    model=load("penguin_predictor.jb")
+def predict_bodymass(FlipperLength):
+    model = load("penguin_predictor.jb")
 
-    # Create dict array from parameters
-    data={
-        "FlipperLength":[FlipperLength]
+    # Create DataFrame from input
+    data = {
+        "FlipperLength": [FlipperLength]
     }
-
-    xin=pd.DataFrame(data)
-    bodymass=model.predict(xin)
+    xin = pd.DataFrame(data)
+    
+    bodymass = model.predict(xin)
     return bodymass[0]
 
-ui=gr.Interface(
+iface = gr.Interface(
     fn=predict_bodymass,
     inputs=[
-        gr.inputs.Textbox(placeholder="Enter Flipper Length(mm)",numeric=True,label="FLIPPER LENGTH")
+        gr.inputs.Number(
+            label="Flipper Length (mm)",
+            min_value=0,
+            max_value=500,
+            default=0
+        )
     ],
-
-    title="PENGUIN REGRESSION",
-    outputs="text",
-    examples=[[195],
-    [183]]
-
+    outputs=gr.outputs.Textbox(label="Body Mass"),
+    title="PENGUIN REGRESSION"
 )
 
-if __name__=="__main__":
-    ui.launch
+if __name__ == "__main__":
+    iface.launch()