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import gradio as gr
import moviepy.editor as mp
import some_voice_separator_lib # Placeholder for your voice separation library
import audio_type_identifier # Placeholder for identifying audio types
import whisper # Whisper for speech recognition
import translation_model # Placeholder for the translation model
import xtts_model # Placeholder for the X-TTS voice cloning model
import singing_synthesis_model # Placeholder for the singing synthesis model
def separate_audio_tracks(video_file):
"""Separate vocal and instrumental tracks from the video."""
return some_voice_separator_lib.separate_vocals(video_file)
def transcribe_and_translate(spoken_segment, target_language):
"""Transcribe spoken audio and translate it into the target language."""
whisper_model = whisper.load_model("large")
transcription = whisper_model.transcribe(spoken_segment)
translated_text = translation_model.translate(transcription['text'], target_language)
return translated_text
def synthesize_singing(segment, target_language):
"""Synthesize singing audio in the target language."""
return singing_synthesis_model.synthesize(segment, target_language)
def clone_voice(translated_text, target_language):
"""Clone the voice for the translated text."""
return xtts_model.clone_voice(translated_text, target_language)
def process_video(video_file, target_language):
"""Main function to process the video and replace audio with translated content."""
# Step 1: Separate audio tracks
vocal_track, instrumental_track = separate_audio_tracks(video_file)
# Step 2: Identify spoken and singing segments
spoken_segments, singing_segments = audio_type_identifier.identify_segments(vocal_track)
# Prepare final audio track with the instrumental background
final_audio = mp.AudioFileClip(instrumental_track)
# Process spoken segments
for segment in spoken_segments:
translated_text = transcribe_and_translate(segment, target_language)
new_audio_segment = clone_voice(translated_text, target_language)
final_audio = final_audio.set_duration(segment.duration).fx(mp.vfx.audio_fadeout, duration=1)
# Process singing segments
for segment in singing_segments:
singing_output = synthesize_singing(segment, target_language)
final_audio = final_audio.set_duration(segment.duration).fx(mp.vfx.audio_fadeout, duration=1)
# Step 3: Combine audio and video
final_video = mp.VideoFileClip(video_file)
final_video.audio = final_audio
output_path = "output_video.mp4"
final_video.write_videofile(output_path, codec='libx264', audio_codec='aac')
return output_path
# Gradio interface setup
iface = gr.Interface(
fn=process_video,
inputs=[
gr.inputs.Video(label="Upload Video"),
gr.inputs.Dropdown(
choices=["English", "Spanish", "Hungarian", "French", "German"], # Add more languages as needed
label="Select Target Language"
)
],
outputs="file",
title="Multilingual Video Translator",
description="Upload a video and select the target language to translate the vocal audio."
)
# Launch the Gradio interface
iface.launch()
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