Create app.py

app.py

@@ -0,0 +1,15 @@
+import tensorflow as tf
+from gradio import Interface
+
+# Load your TensorFlow model
+model = tf.keras.models.load_model("mnist_model.h5")
+
+# Define the input and output components of your interface
+iface = Interface(
+    fn=model.predict,  # Pass your model's prediction function
+    inputs=["image"],  # Adjust input components as needed
+    outputs="label",  # Adjust output components as needed
+)
+
+# Launch the web app
+iface.launch(share=True)