# This Gradio app demonstrates a local voice cloning demo using the provided video and voice samples.
import gradio as gr
import numpy as np
import tempfile
import os

# Function to clone voice and generate dubbed video
def clone_voice(video_path, voice_option):
    # Create a temporary directory to store intermediate files
    temp_dir = tempfile.mkdtemp()
    audio_path = os.path.join(temp_dir, "original_audio.wav")
    output_path = os.path.join(temp_dir, "output_video.mp4")

    # 1. Extract audio from the uploaded video
    # Note: Since moviepy is not available, we will use a placeholder function to simulate audio extraction
    # In a real scenario, you would use a library like moviepy to extract audio from the video
    with open(video_path, 'rb') as video_file:
        video_data = video_file.read()
    with open(audio_path, 'wb') as audio_file:
        audio_file.write(video_data)  # Placeholder for audio extraction

    # 2. Transcribe the extracted audio to text using a placeholder function
    # Note: Since the Whisper model is not available, we will use a placeholder function to simulate transcription
    # In a real scenario, you would use a transcription model like Whisper
    text = "This is a placeholder text for the transcribed audio."

    # 3. Generate the cloned voice using the TTS model
    # Note: Since TTS is not available, we will use a placeholder function to simulate TTS
    # In a real scenario, you would use a TTS library to generate the cloned voice
    with open(os.path.join(temp_dir, "new_audio.wav"), 'wb') as new_audio_file:
        new_audio_file.write(text.encode())  # Placeholder for TTS

    # 4. Replace the original audio in the video with the new cloned audio
    # Note: Since moviepy is not available, we will use a placeholder function to simulate video creation
    # In a real scenario, you would use a library like moviepy to create the final video
    with open(output_path, 'wb') as final_video_file:
        final_video_file.write(video_data)  # Placeholder for video creation

    return output_path

# Create the Gradio interface
with gr.Blocks() as demo:
    gr.Markdown("## Local Voice Cloning Demo")
    
    with gr.Row():
        video_input = gr.Video(label="Upload Video", sources=["upload"])
        voice_selector = gr.Dropdown(
            choices=["voice1", "voice2", "voice3"],
            label="Select Voice Profile",
            info="Add 3-5 second WAV samples in 'voices/' folder"
        )
    
    submit_btn = gr.Button("Generate Dubbed Video")
    video_output = gr.Video(label="Result")
    
    submit_btn.click(
        fn=clone_voice,
        inputs=[video_input, voice_selector],
        outputs=video_output
    )

# Launch the Gradio app
if __name__ == "__main__":
    demo.launch(show_error=True)