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Update app.py
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app.py
CHANGED
@@ -29,54 +29,7 @@ def get_frame_count_in_duration(filepath):
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video.release()
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return gr.update(maximum=frame_count)
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# Function to process a video chunk and return the processed video
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def process_video_chunk(chunk, index):
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# Count the frame number of the video chunk
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frame_count = len(chunk)
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# Export the processed chunk to a file with the index in the file name
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processed_chunk_filename = f'processed_chunk_{index}.mp4'
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processed_chunk.write_videofile(processed_chunk_filename)
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return processed_chunk_filename, frame_count
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# Function to split video into chunks
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def split_video_into_chunks(video_path, chunk_size):
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# Load the video clip
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video = VideoFileClip(video_path)
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# Calculate the total number of frames
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total_frames = int(video.duration * video.fps)
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# Calculate the number of chunks needed
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num_chunks = math.ceil(total_frames / chunk_size)
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# Create a list to store the chunks and their frame counts
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chunks = []
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# Split the video into chunks
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for i in range(num_chunks):
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# Calculate the start and end frame for the chunk
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start_frame = i * chunk_size
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end_frame = min((i + 1) * chunk_size, total_frames)
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# Extract the chunk from the video
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chunk = video.subclip(start_frame / video.fps, end_frame / video.fps)
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# Calculate the frame count for the chunk
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frame_count = end_frame - start_frame
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# Add the chunk and its frame count to the list
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chunks.append((chunk, frame_count))
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# If the last chunk is smaller than the chunk size
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if len(chunks) > 0 and chunks[-1][1] < chunk_size:
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# Adjust the end frame of the last chunk to the total frames
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last_chunk = chunks[-1][0]
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last_frame_count = chunks[-1][1]
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chunks[-1] = (video.subclip(last_chunk.t_start, video.duration), last_frame_count)
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return chunks
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@@ -87,52 +40,23 @@ def run_inference(prompt, video_path, condition, video_length):
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os.makedirs(output_path, exist_ok=True)
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# Construct the final video path
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video_path_output =
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# Check if the file already exists
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if os.path.exists(video_path_output):
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# Delete the existing file
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os.remove(video_path_output)
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# Specify the maximum number of frames per chunk
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chunk_size = 12
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# Split the video into chunks
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video_chunks = split_video_into_chunks(video_path, chunk_size)
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# Process each chunk and store the processed chunk filenames and frame counts
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processed_chunk_info = []
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for i, (chunk, _) in enumerate(video_chunks):
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processed_chunk_filename, frame_count = process_video_chunk(chunk, i)
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# Count the frame number of the video chunk
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#frame_count = len(chunk)
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command = f"python inference.py --prompt '{prompt}' --condition '{condition}' --video_path '{chunk}' --output_path '{output_path}' --video_length {frame_count} --smoother_steps 19 20"
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subprocess.run(command, shell=True)
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# Construct the video path
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video_path_output = os.path.join(output_path, f"{prompt}_{i}.mp4")
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processed_chunk_filename = video_path_output
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#processed_chunk_filenames.append(processed_chunk_filename)
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processed_chunk_info.append((processed_chunk_filename, frame_count))
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# Load the processed video chunks
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processed_chunks = [VideoFileClip(filename) for filename, _ in processed_chunk_info]
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# Concatenate the processed video chunks into a final video
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final_video = concatenate_videoclips(processed_chunks)
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#
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for filename, _ in processed_chunk_info:
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os.remove(filename)
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return "done",
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with gr.Blocks() as demo:
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video.release()
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return gr.update(maximum=frame_count)
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os.makedirs(output_path, exist_ok=True)
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# Construct the final video path
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video_path_output = os.path.join(output_path, f"{prompt}.mp4"
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# Check if the file already exists
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if os.path.exists(video_path_output):
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# Delete the existing file
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os.remove(video_path_output)
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command = f"python inference.py --prompt '{prompt}' --condition '{condition}' --video_path '{chunk}' --output_path '{output_path}' --video_length {video_length} --smoother_steps 19 20"
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subprocess.run(command, shell=True)
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# Construct the video path
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video_path_output = os.path.join(output_path, f"{prompt}.mp4")
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return "done", video_path_output
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with gr.Blocks() as demo:
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