Update app.py

app.py

@@ -6,13 +6,16 @@ import tensorflow as tf
 import streamlit as st
 
 # Open the video file
-video_file = st.file_uploader("Choose a video file", type=["mp4"])
+f = st.file_uploader("Choose a Video")
 
 if video_file is not None:
     # Read the video file from the file-like object
-    video_path = video_file.name
-    video_np = np.frombuffer(video_path,np.uint8) 
-    cap = cv2.imdecode(video_np, cv2.IMREAD_UNCHANGED)
+          
+    tfile = tempfile.NamedTemporaryFile(delete=False) 
+    tfile.write(f.read())
+
+# Opens the Video file
+    cap= cv2.VideoCapture(tfile.name)
 
     # Get the frames per second (fps) of the video
     fps = (cap.get(cv2.CAP_PROP_FPS))