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()