Upload app.py

app.py

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+import os
+import tensorflow as tf
+import gradio as gr
+import numpy as np
+
+
+loaded_model = tf.keras.saving.load_model('./model/linear_regressor.keras')
+
+def test_ml_model(input):
+    result = loaded_model.predict(([input]))
+    return (f'predicted: {result}')
+
+demo = gr.Interface(fn=test_ml_model, inputs=gr.Slider(0, 100, step=1), 
+                    outputs="text",
+                    description="A sample linear regressor solution.",
+                    title='Synthetic Data Linear Regressor Solution')
+    
+demo.launch()