Update app.py

app.py

@@ -6,7 +6,7 @@ import os
 from glob import glob
 from pathlib import Path
 from typing import Optional
-
+import uuid
 import base64
 from io import BytesIO
 import tempfile
@@ -224,7 +224,10 @@ def sample(
 
     os.makedirs(output_folder, exist_ok=True)
     base_count = len(glob(os.path.join(output_folder, "*.mp4")))
-    video_path = os.path.join(output_folder, f"{base_count:06d}.mp4")
+   
+    video_uuid = str(uuid.uuid4()).replace("-", "")
+    raw_video_path = f"/tmp/{video_uuid}_raw.mp4"
+    enhanced_video_path = f"/tmp/{video_uuid}_enhanced.mp4"
 
     with torch.autocast("cuda"):
         frames = pipe(
@@ -241,15 +244,15 @@ def sample(
 
     # we leave default values here
     # alternatively we have implemented our own here: export_to_video_file(...)
-    export_to_video(frames, video_path, fps=hardcoded_fps)
+    export_to_video(frames, raw_video_path, fps=hardcoded_fps)
     
     torch.manual_seed(seed)
 
-    final_video_path = interpolate_video_frames(video_path, enhanced_video_path, output_fps=desired_fps, desired_duration=desired_duration)
+    final_video_path = interpolate_video_frames(raw_video_path, enhanced_video_path, output_fps=desired_fps, desired_duration=desired_duration)
     
 
     # Read the content of the video file and encode it to base64
-    with open(video_path, "rb") as video_file:
+    with open(final_video_path, "rb") as video_file:
         video_base64 = base64.b64encode(video_file.read()).decode('utf-8')
 
     # Prepend the appropriate data URI header with MIME type