hmm

app.py

@@ -13,7 +13,7 @@ def image_generation(model, number_of_images=1):
     #return f"generating {number_of_images} images from {model}"
     return img
 if __name__ == "__main__":
-    description = "This is a web demo of a projected GAN trained on photos of thirty paintings from the series of paintings Welcome home . The abstract expressionism and color field models were initially trained on images from their perspective art directions and then transfer learned to Hana's houses."
+    description = "This is a web demo of a projected GAN trained on photos of thirty paintings from the series of paintings Welcome home. \n The abstract expressionism and color field models were initially trained on images from their perspective art directions and then transfer learned to Hana's houses."
     inputs = gr.inputs.Radio(["Hana Hanak houses", "Hana Hanak houses - abstract expressionism", "Hana Hanak houses - color field"])
     outputs = gr.outputs.Image(label="Generated Image", type="pil")
     #outputs = "text"