app.py

import gradio as gr
import torch
from transformers import Wav2Vec2ForCTC, Wav2Vec2Tokenizer

class SongRemixer:
    def __init__(self, model_name="facebook/wav2vec2-base-960h"):
        self.model = Wav2Vec2ForCTC.from_pretrained(model_name)
        self.tokenizer = Wav2Vec2Tokenizer.from_pretrained(model_name)

    def remix_song(self, input_song, genre, length):
        # Placeholder for song remixing logic
        # Implement remixing logic here to change genre and length
        remixed_song = input_song  # Placeholder, replace with actual remixing logic
        return remixed_song

song_remixer = SongRemixer()

def remix_song(input_song, genre, length):
    remixed_song = song_remixer.remix_song(input_song, genre, length)
    return remixed_song

input_song = gr.inputs.Audio(label="Input Song (.mp3, .wav, .mp4)")
genre = gr.inputs.Dropdown(choices=["Rock", "Pop", "Jazz", "Hip-hop", "Electronic"], label="Genre")
length = gr.inputs.Slider(minimum=0, maximum=8.83, default=3, label="Length (in minutes)")

gr.Interface(remix_song, inputs=[input_song, genre, length], outputs="audio").launch()