Update app.py

app.py

@@ -109,7 +109,7 @@ class Pipeline:
         text = ""
         with torch.autocast(self.device):
             for start, stop, frames in iter_clips(video_path):
-                text += f"{'-'*30} Predictions From: {start:10.3f}-{stop:10.3f} seconds {'-'*30}\n"
+                text += f"{'-'*30} Predictions From: {start:2.3f}-{stop:2.3f} seconds {'-'*30}\n"
                 frames = self.val_transform(frames).unsqueeze(0)
                 if self.device == 'cuda':
                     frames = frames.to(self.device).half()