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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() | |