Update app.py

app.py

@@ -37,7 +37,7 @@ model_m = Qwen2_5_VLForConditionalGeneration.from_pretrained(
 
 def downsample_video(video_path):
     """
-    Downsamples the video to 10 evenly spaced frames.
+    Downsamples the video to evenly spaced frames.
     Each frame is returned as a PIL image along with its timestamp.
     """
     vidcap = cv2.VideoCapture(video_path)
@@ -45,7 +45,7 @@ def downsample_video(video_path):
     fps = vidcap.get(cv2.CAP_PROP_FPS)
     frames = []
     # Sample 10 evenly spaced frames.
-    frame_indices = np.linspace(0, total_frames - 1, 10, dtype=int)
+    frame_indices = np.linspace(0, total_frames - 1, 14, dtype=int)
     for i in frame_indices:
         vidcap.set(cv2.CAP_PROP_POS_FRAMES, i)
         success, image = vidcap.read()