Update app.py

app.py

@@ -145,10 +145,20 @@ def detect_video(video):
     
 #     return open(video_path_1, "rb"), open(video_path_2, "rb")
 
-def display_two_videos(video_path_1, video_path_2):
+def display_two_videos():
     path1=os.path.join(os.path.dirname(__file__), "data/c_base_detected.mp4")
     path2= os.path.join(os.path.dirname(__file__), "data/c_tuned_detected.mp4")
-    return open(path1, "rb"), open(path2, "rb")
+    cap1 = cv2.VideoCapture(path1)
+    cap2 = cv2.VideoCapture(path2)
+
+    while True:
+        ret1, frame1 = cap1.read()
+        ret2, frame2 = cap2.read()
+        if not ret1 or not ret2:
+            break
+    yield frame1, frame2  # Yield frames from both videos as a tuple
+
+   # return open(path1, "rb"), open(path2, "rb")
 
 #os.path.join(os.path.dirname(__file__), "files/a.mp4")
 
@@ -223,8 +233,8 @@ tuned_image = gr.Interface(
 video = gr.Interface(
     fn=display_two_videos,
     inputs=[
-        gr.Textbox(label="Path to detected base model Video",value="data/c_base_detected.mp4",info="video has been pre-processed"),
-        gr.Textbox(label="Path to tuned base model  Video",value="data/c_tuned_detected.mp4",info="video has been pre-processed")
+        # gr.Textbox(label="Path to detected base model Video",value="data/c_base_detected.mp4",info="video has been pre-processed"),
+        # gr.Textbox(label="Path to tuned base model  Video",value="data/c_tuned_detected.mp4",info="video has been pre-processed")
     ],
     outputs=[gr.Video(label="base model"), gr.Video(label="Tuned model")],  # Specify video outputs
     title="Comparing base vs tuned detected video",