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README.md

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+---
+title: New Space
+emoji: 🌍
+colorFrom: indigo
+colorTo: gray
+sdk: gradio
+sdk_version: 5.9.1
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import numpy as np
+import cv2
+
+# Function to create a 5x2 video grid
+def create_video_grid(video_files, layout, delay):
+    # Initialize the video capture objects
+    video_captures = [cv2.VideoCapture(video) for video in video_files]
+    
+    # Get the frame dimensions of the first video
+    ret, frame = video_captures[0].read()
+    height, width, _ = frame.shape
+    
+    # Define the output video writer
+    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
+    out = cv2.VideoWriter('output.mp4', fourcc, 7, (width * 5, height * 2))
+    
+    # Define the delay in frames
+    delay_frames = int(7 * delay)
+    
+    # Initialize the frame counters
+    frame_counters = [0] * len(video_captures)
+    
+    while True:
+        frames = []
+        for i, cap in enumerate(video_captures):
+            ret, frame = cap.read()
+            if not ret:
+                break
+            frames.append(frame)
+            frame_counters[i] += 1
+        
+        if len(frames) < 10:
+            break
+        
+        # Apply the layout
+        if layout == "Left and Right":
+            row1 = np.hstack(frames[:5])
+            row2 = np.hstack(frames[5:])
+            grid = np.vstack([row1, row2])
+        elif layout == "Top and Bottom":
+            col1 = np.vstack(frames[:5])
+            col2 = np.vstack(frames[5:])
+            grid = np.hstack([col1, col2])
+        
+        # Write the frame to the output video
+        out.write(grid)
+        
+        # Apply the delay for the second row
+        if frame_counters[5] < delay_frames:
+            for i in range(5, 10):
+                frame_counters[i] = 0
+                video_captures[i].set(cv2.CAP_PROP_POS_FRAMES, 0)
+    
+    # Release the video captures and the output video writer
+    for cap in video_captures:
+        cap.release()
+    out.release()
+    
+    return 'output.mp4'
+
+# Define the Gradio interface
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            video_files = gr.File(label="Upload Video Files", file_count="multiple")
+            layout = gr.Radio(choices=["Left and Right", "Top and Bottom"], label="Layout")
+            delay = gr.Slider(0, 1, step=0.1, label="Delay (seconds)")
+        with gr.Column():
+            output_video = gr.Video(label="Output Video", format="mp4")
+    
+    # Define the event listener
+    video_files.change(create_video_grid, [video_files, layout, delay], output_video)
+
+# Launch the Gradio app
+demo.launch(show_error=True)

requirements.txt

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+numpy
+opencv-python