Update app.py
Browse files
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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# 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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# 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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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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# Load video clips
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clip1 = VideoFileClip(video1_path)
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clip2 = VideoFileClip(video2_path)
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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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# 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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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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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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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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generate_crossover_video(video1_path, video2_path, output_path)
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if __name__ == "__main__":
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main()
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