Spaces:
Running
Running
File size: 4,214 Bytes
21215cb eff85b8 21215cb eff85b8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 |
#
#
import os
os.system('pip install -U openai-whisper')
os.system('pip install -U git+https://github.com/linto-ai/whisper-timestamped')
os.system('pip install gradio moviepy whisper-timestamped')
import datetime as dt
import json
import whisper_timestamped as whisper
from moviepy.video.io.VideoFileClip import VideoFileClip
import gradio as gr
# Helper functions and global variables
outdir = dt.datetime.now().strftime("%Y%m%d%H%M")
if os.path.exists(outdir):
random_digits = str(random.randint(1000, 9999))
new_outdir = outdir + random_digits
os.mkdir(new_outdir)
outdir = new_outdir
print("Created new output directory:", new_outdir)
else:
os.system(f"mkdir {outdir}")
print("date time now:" + outdir)
model = whisper.load_model("base")
def generate_timestamps(vidname):
audio = whisper.load_audio(vidname)
result = whisper.transcribe(model, audio, language="en")
return result
def get_segment_info(data):
new_list = []
for segment in data.get("segments", []):
if "id" in segment and "start" in segment and "end" in segment and "text" in segment:
new_item = {
"id": segment["id"],
"start": segment["start"],
"end": segment["end"],
"text": segment["text"]
}
new_list.append(new_item)
return new_list
def combine_entries(entries):
combined_entries = []
current_entry = None
total_duration = 0
for entry in entries:
entry_duration = entry["end"] - entry["start"]
if total_duration + entry_duration > 30:
if current_entry:
current_entry["end"] = entry["end"]
combined_entries.append(current_entry)
current_entry = {
"start": entry["start"],
"end": entry["end"],
"text": entry["text"]
}
total_duration = entry_duration
else:
if current_entry:
current_entry["end"] = entry["end"]
current_entry["text"] += " " + entry["text"]
total_duration += entry_duration
else:
current_entry = {
"start": entry["start"],
"end": entry["end"],
"text": entry["text"]
}
total_duration = entry_duration
if current_entry:
combined_entries.append(current_entry)
return combined_entries
def extract_video_segment(input_video, output_video, start_time, end_time):
video_clip = VideoFileClip(input_video).subclip(start_time, end_time)
video_clip.write_videofile(output_video, codec="libx264", audio_codec="aac")
video_clip.close()
def save_segments(outdir, name, combined_entries):
segments = combined_entries
input_video = name
for i, segment in enumerate(segments):
start_time = segment['start']
end_time = segment['end']
output_video_file = f'{outdir}/output_segment_{i + 1}.mp4'
extract_video_segment(input_video, output_video_file, start_time, end_time)
def split_up_video(video_path, output_dir):
result = generate_timestamps(video_path)
combined_entries = combine_entries(get_segment_info(result))
scribeout = open(f"{output_dir}/transcript.txt", "w")
scribeout.write(json.dumps(combined_entries, indent=2, ensure_ascii=False))
scribeout.close()
save_segments(output_dir, video_path, combined_entries)
filename, extension = os.path.splitext(video_path)
os.system(f"zip -r {filename}.zip {output_dir}")
return f"{filename}.zip"
# Gradio interface
def process_video(video):
output_dir = dt.datetime.now().strftime("%Y%m%d%H%M")
os.mkdir(output_dir)
video_path = video.name
output_zip = split_up_video(video_path, output_dir)
return output_zip
iface = gr.Interface(
fn=process_video,
inputs=gr.File(file_count="single", type="filepath", label="Upload a Video"),
outputs=gr.File(label="Download Zipped Segments and Transcript"),
title="Video Splitter",
description="Upload a video and get a zipped file with segmented videos and a transcript."
)
iface.launch()
|