Update app.py

app.py

@@ -233,7 +233,7 @@ class Model:
             imgs.append(temp_img)
         return imgs
 
-    # video A-B style
+    # video 1-2 style
     def gen_video(self, w1, w2, noise, path, frame_num=10):
         video = imageio.get_writer(path, mode='I', fps=frame_num // 2, codec='libx264', bitrate='16M')
         lin = np.linspace(0, 1, frame_num)
@@ -243,7 +243,7 @@ class Model:
         video.close()
 
 
-    # video A-B-A style
+    # video 1-2-1 style
     def gen_video2(self, w1, w2, noise, path, frame_num=10):
         video = imageio.get_writer(path, mode='I', fps=frame_num // 2, codec='libx264', bitrate='16M')
         lin = np.linspace(0, 1, frame_num)
@@ -286,7 +286,7 @@ def gen_video_fn(w1, w2, noise, frame):
         return None
 #    model.gen_video(w1, w2, noise, "video.mp4", int(frame))
     model.gen_video2(w1, w2, noise, "video.mp4", int(frame))
-    return "videoFB.mp4"
+    return "video.mp4"
 
 
 if __name__ == '__main__':
@@ -295,7 +295,7 @@ if __name__ == '__main__':
     app = gr.Blocks()
     with app:
         gr.Markdown("# full-body anime GAN\nfork from [skytnt](https://huggingface.co/spaces/skytnt/full-body-anime-gan)\n\n"
-                    "![visitor badge](https://visitor-badge.glitch.me/badge?page_id=o_ob.hf.full-body-anime-gan)\ntransformを使った画像生成とブレンドです(text2image, Stable Diffusionではありません)\n動画をA→B→Aというパターンで作ります\n")
+                    "![visitor badge](https://visitor-badge.glitch.me/badge?page_id=o_ob.hf.full-body-anime-gan)\ntransformを使った画像生成とブレンドです(text2image, Stable Diffusionではありません)\psi1,2はnskytnt/fbanime-ganのmappingパラメータです。\n動画生成は1→2→1というパターンで作ります\n")
         with gr.Tabs():
             with gr.TabItem("generate image 新規画像生成"):
                 with gr.Row():
@@ -317,7 +317,7 @@ if __name__ == '__main__':
             with gr.TabItem("encode image 画像からエンコード"):
                 with gr.Row():
                     with gr.Column():
-                        gr.Markdown("you'd better upload a standing full-body image")
+                        gr.Markdown("you'd better upload a standing full-body image 完全な立ち絵の画像をアップロードしてください")
                         encode_img_input = gr.Image(label="input image")
                         examples_data = [[f"examples/{x:02d}.jpg"] for x in range(1, 7)]
                         encode_img_examples = gr.Dataset(components=[encode_img_input], samples=examples_data)