Update app.py

app.py

@@ -11,15 +11,9 @@ head = (
 )
 
 
-cnn = tf.keras.models.load_model("cnn_model.h5")
-
-def predict_input_image(img):
-    img = img.reshape(1, 500, 500, 1)
-    prediction = cnn.predict(img).tolist()[0]
-    class_names = ["Covid"]
-    return {class_names[i]: 1-prediction[i] for i in range(1)}
 
 image = gr.inputs.Image(shape=(500, 500), image_mode='L', invert_colors=False, source="upload")
 label = gr.outputs.Label()
 iface = gr.Interface(fn=predict_input_image, inputs=image, outputs=label,title=title, description=head)
-iface.launch()
+
+gr.Interface.load("models/swww/test").launch()