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import gradio as gr
from moviepy.editor import VideoFileClip
import os
import whisper
import srt
from datetime import timedelta
def extract_audio(video_path):
try:
video = VideoFileClip(video_path)
audio_path = 'audio.mp3'
audio = video.audio
audio.write_audiofile(audio_path)
audio.close()
video.close()
return audio_path
except Exception as e:
return str(e)
def transcribe_audio_to_srt(audio_path, srt_file="output.srt"):
model = whisper.load_model("base.en")
result = model.transcribe(audio_path)
subtitles = []
for i, segment in enumerate(result['segments']):
start_time = segment['start']
end_time = segment['end']
content = segment['text'].strip()
subtitle = srt.Subtitle(index=i+1,
start=timedelta(seconds=start_time),
end=timedelta(seconds=end_time),
content=content)
subtitles.append(subtitle)
with open(srt_file, 'w', encoding='utf-8') as f:
f.write(srt.compose(subtitles))
return srt_file
def process_video(video):
video_path = video
audio_path = extract_audio(video_path)
if audio_path.endswith('.mp3'):
processed_audio_path = transcribe_audio_to_srt(audio_path)
with open(processed_audio_path, "r") as f:
srt_content = f.read()
return srt_content
else:
return "Failed to extract audio."
iface = gr.Interface(
fn=process_video,
inputs=gr.Video(),
outputs=gr.Textbox(label="Generated SRT File Content"),
title="Extract and Process Audio from Video",
description="Upload a video file to extract and process the audio, and view the generated SRT file content.",
allow_flagging="never"
)
iface.launch()
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