2 en

app.py

@@ -17,9 +17,7 @@ def clean_cache(tmp_dir=TMP_DIR):
 
 
 def get_frame_duration(gif: Image):
-    # 获取 GIF 图像中第一帧的 duration
     duration = gif.info.get("duration", 100)
-    # 返回每一帧的 duration
     return [
         frame.info.get("duration", duration) for frame in ImageSequence.Iterator(gif)
     ]
@@ -43,7 +41,6 @@ def resize_gif(
         modified_frames.append(resized_frame)
 
     frame_durations = get_frame_duration(gif)
-    # 将修改后的帧作为新的 GIF 保存
     modified_frames[0].save(
         output_path,
         format="GIF",
@@ -62,7 +59,7 @@ def infer(video_path: str, speed: float):
     try:
         with VideoFileClip(video_path, audio_fps=16000) as clip:
             if clip.duration > 5:
-                raise ValueError("上传的视频过长 The uploaded video is too long")
+                raise ValueError("The uploaded video is too long")
 
             # clip.write_gif(gif_path, fps=12, progress_bar=True)
             clip.speedx(speed).to_gif(gif_path, fps=12)
@@ -79,9 +76,9 @@ if __name__ == "__main__":
     gr.Interface(
         fn=infer,
         inputs=[
-            gr.Video(label="上传视频 Upload video"),
+            gr.Video(label="Upload video"),
             gr.Slider(
-                label="倍速 Speed",
+                label="Speed",
                 minimum=0.5,
                 maximum=2.0,
                 step=0.25,
@@ -89,9 +86,9 @@ if __name__ == "__main__":
             ),
         ],
         outputs=[
-            gr.Textbox(label="文件名 Filename", show_copy_button=True),
-            gr.Image(label="下载动图 Download GIF", type="filepath"),
+            gr.Textbox(label="Filename", show_copy_button=True),
+            gr.Image(label="Download GIF", type="filepath"),
         ],
-        title="请确保视频上传完整后再点击提交，若时长大于五秒可先在线裁剪<br>Please make sure the video is completely uploaded before clicking Submit, you can crop it online first if the video size is >5s",
+        title="Please make sure the video is completely uploaded before clicking Submit, you can crop it online first if the video size is >5s",
         flagging_mode="never",
     ).launch()