Update app.py

app.py

@@ -3,8 +3,8 @@ from huggingface_hub import hf_hub_download
 
 Rain_Princess = hf_hub_download(repo_id="maze/FastStyleTransfer", filename="Rain_Princess_512.pth")
 The_Scream = hf_hub_download(repo_id="maze/FastStyleTransfer", filename="Scream_512.pth")
-#modelarcanev3 = hf_hub_download(repo_id="akhaliq/ArcaneGANv0.3", filename="ArcaneGANv0.3.jit")
-#modelarcanev2 = hf_hub_download(repo_id="akhaliq/ArcaneGANv0.2", filename="ArcaneGANv0.2.jit")
+The_Mosaic = hf_hub_download(repo_id="maze/FastStyleTransfer", filename="Mosaic_512.pth")
+Starry_Night = hf_hub_download(repo_id="maze/FastStyleTransfer", filename="Starry_Night_512.pth")
 
 
 import numpy as np
@@ -141,6 +141,10 @@ def main(image, backbone, style):
         transformer.load_state_dict(torch.load(The_Scream, map_location=torch.device('cpu')))
     elif style == "Rain Princess":
         transformer.load_state_dict(torch.load(Rain_Princess, map_location=torch.device('cpu')))
+    elif style == "The Mosaic":
+        transformer.load_state_dict(torch.load(The_Mosaic, map_location=torch.device('cpu')))
+    elif style == "Starry Night":
+        transformer.load_state_dict(torch.load(Starry_Night, map_location=torch.device('cpu')))
     else:
         transformer.load_state_dict(torch.load(Rain_Princess, map_location=torch.device('cpu')))
     image = Image.fromarray(image)
@@ -157,7 +161,7 @@ gr.Interface(
     inputs = [
         gr.inputs.Image(), 
         gr.inputs.Radio(["VGG19", "Robust ResNet50", "Standard ResNet50"], label="Backbone"),
-        gr.inputs.Dropdown(["The Scream", "Rain Princess"], type="value", default="Rain Princess", label="style")
+        gr.inputs.Dropdown(["The Scream", "Rain Princess", "Starry Night", "The Mosaic"], type="value", default="Rain Princess", label="style")
     ], 
     outputs = [gr.outputs.Image(label="Stylized"), gr.outputs.HTML(label="Comment")],
     # examples = [