animatedaliensfans commited on
Commit
05c2acb
·
verified ·
1 Parent(s): f08f910

Update app.py

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Files changed (1) hide show
  1. app.py +53 -0
app.py CHANGED
@@ -5,3 +5,56 @@ def greet(name):
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  demo = gr.Interface(fn=greet, inputs="text", outputs="text")
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  demo.launch()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  demo = gr.Interface(fn=greet, inputs="text", outputs="text")
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  demo.launch()
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+ import os
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+ from moviepy.editor import VideoFileClip, concatenate_videoclips
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+ from transformers import VideoProcessor, VideoModel # Replace with actual imports if needed
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+
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+ # Function to load the Hugging Face model and processor
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+ def load_model(model_name):
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+ try:
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+ model = VideoModel.from_pretrained(model_name)
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+ processor = VideoProcessor.from_pretrained(model_name)
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+ return model, processor
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+ except Exception as e:
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+ print(f"Error loading model: {e}")
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+ return None, None
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+
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+ # Function to generate the crossover video
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+ def generate_crossover_video(video1_path, video2_path, output_path):
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+ if not os.path.isfile(video1_path):
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+ print(f"Error: {video1_path} does not exist.")
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+ return
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+ print(f"Processing Video 1: {video1_path}")
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+
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+ if not os.path.isfile(video2_path):
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+ print(f"Error: {video2_path} does not exist.")
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+ return
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+ print(f"Processing Video 2: {video2_path}")
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+
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+ # Load video clips
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+ clip1 = VideoFileClip(video1_path)
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+ clip2 = VideoFileClip(video2_path)
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+
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+ # For now, just concatenating the clips directly
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+ final_clip = concatenate_videoclips([clip1, clip2])
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+
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+ # Write the output video file
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+ final_clip.write_videofile(output_path, codec='libx264')
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+ print(f"Crossover video saved to {output_path}")
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+
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+ def main():
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+ video1_path = input("Enter the path to the first video: ")
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+ video2_path = input("Enter the path to the second video: ")
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+ output_path = input("Enter the output file path (e.g., crossover_output.mp4): ")
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+
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+ model_name = "your_model_name" # Replace with the actual model name you want to use
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+ model, processor = load_model(model_name)
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+
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+ if model is None or processor is None:
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+ print("Model loading failed. Exiting the application.")
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+ return
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+
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+ generate_crossover_video(video1_path, video2_path, output_path)
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+
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+ if __name__ == "__main__":
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+ main()