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import gradio as gr
import os
import sys
import subprocess
#from moviepy.editor import VideoFileClip
import whisper
from whisper.utils import write_vtt
model = whisper.load_model("medium")
def video2mp3(video_file, output_ext="mp3"):
filename, ext = os.path.splitext(video_file)
subprocess.call(["ffmpeg", "-y", "-i", video_file, f"{filename}.{output_ext}"],
stdout=subprocess.DEVNULL,
stderr=subprocess.STDOUT)
return f"{filename}.{output_ext}"
def translate(video):
audio_file = video2mp3(video)
options = dict(beam_size=5, best_of=5, fp16 = False)
translate_options = dict(task="translate", **options)
result = model.transcribe(audio_file,**translate_options)
#output_dir = '/content/'
audio_path = audio_file.split(".")[0]
with open(os.path.join(output_dir, audio_path + ".vtt"), "w") as vtt:
write_vtt(result["segments"], file=vtt)
subtitle = audio_path + ".vtt"
output_video = audio_path + "_subtitled.mp4"
os.system(f"ffmpeg -i {input_video} -vf subtitles={subtitle} {output_video}")
return output_video
block = gr.Blocks()
with block:
with gr.Group():
with gr.Box():
with gr.Row().style(mobile_collapse=False, equal_height=True):
inp_video = gr.Video(
label="Input Video",
type="filepath"
)
op_video = gr.Video()
btn = gr.Button("Generate Subtitle Video")
btn.click(translate, inputs=[inp_video], outputs=[op_video])
gr.HTML('''
<div class="footer">
<p>Model by <a href="https://github.com/openai/whisper" style="text-decoration: underline;" target="_blank">OpenAI</a> - Gradio App by <a href="https://twitter.com/1littlecoder" style="text-decoration: underline;" target="_blank">1littlecoder</a>
</p>
</div>
''')
block.launch(debug = True)
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