app.py

import gradio as gr
import torchaudio
from transformers import pipeline

# Load a voice cloning or TTS model
# Here we use a placeholder for a voice cloning model like Tortoise-TTS
# You can replace this with your preferred library
def voice_cloning(input_audio, song_text, musician_style):
    # Load the input audio (your voice)
    waveform, sample_rate = torchaudio.load(input_audio)
    
    # Process the waveform to extract voice features (using Tortoise-TTS or similar)
    # This is a placeholder - you'll need to use a real voice cloning pipeline here
    cloned_voice = f"Processed your voice for song '{song_text}' in the style of {musician_style}"
    
    # Synthesize the song text using your cloned voice
    # Combine with the musical style of the selected musician
    synthesized_song = f"Singing '{song_text}' with your voice in the style of {musician_style}."
    
    return synthesized_song

# Create a Gradio interface
with gr.Blocks() as demo:
    gr.Markdown("### Voice Cloning & Singing in a Musician's Style")
    
    with gr.Row():
        input_audio = gr.Audio(label="Upload Your Voice", type="filepath")
        song_text = gr.Textbox(label="Enter Song Lyrics", placeholder="Enter the song lyrics here...")
        musician_style = gr.Textbox(label="Enter Musician's Style", placeholder="e.g., Adele, Ed Sheeran, etc.")
    
    output = gr.Textbox(label="Synthesized Song")
    
    generate_button = gr.Button("Generate")
    generate_button.click(
        voice_cloning, 
        inputs=[input_audio, song_text, musician_style], 
        outputs=output
    )

# Launch the app
demo.launch()