downscaled examples

app.py

@@ -289,7 +289,7 @@ def run_main_app(semantic_concept, word, script, font_selected, prompt_suffix, n
 
         if step % skip == 0:
             img_tensor = x.detach().cpu()
-            img_tensor = torch.nn.functional.interpolate(img_tensor, size=(300, 300), mode='bilinear', align_corners=False)
+            img_tensor = torch.nn.functional.interpolate(img_tensor, size=(200, 200), mode='bilinear', align_corners=False)
             img_tensor = img_tensor.permute(0, 2, 3, 1).squeeze(0)
             gif_frames += [img_tensor.numpy()]
         
@@ -442,6 +442,7 @@ with gr.Blocks() as demo:
             ["音乐", "music", "Simplified Chinese", "Chinese: ZhiMangXing-Regular", 250, 42],
             ["μουσική", "music", "Greek", "Greek: EBGaramond-Regular", 250, 42],
             ["музыка", "music", "Cyrillic", "Cyrillic: Geologica_Auto-Regular", 250, 42],
+            ["இசை", "music", "Tamil", "Tamil: HindMadurai-Regular", 250, 42],
         ]
 
         demo.queue(max_size=10, concurrency_count=2)