import gradio as gr
from pydub import AudioSegment
import io
import numpy as np
import soundfile as sf

# Placeholder for actual remix transformation functions
def transform_audio(audio, genre):
    # Load audio data
    audio = AudioSegment.from_file(io.BytesIO(audio), format="wav")

    # Here, we would apply genre-specific transformations
    if genre == "Dubstep":
        # Placeholder processing for Dubstep remix
        audio = audio.low_pass_filter(300)
    elif genre == "Drumstep":
        # Placeholder processing for Drumstep remix
        audio = audio.low_pass_filter(200).apply_gain(6)
    elif genre == "Trap":
        # Placeholder processing for Trap remix
        audio = audio.low_pass_filter(400)
    elif genre == "EDM":
        # Placeholder processing for EDM remix
        audio = audio.high_pass_filter(300)
    elif genre == "DnB":
        # Placeholder processing for Drum and Bass remix
        audio = audio.low_pass_filter(350).apply_gain(3)
    elif genre == "Colour Bass":
        # Placeholder processing for Colour Bass remix
        audio = audio.high_pass_filter(250).apply_gain(5)

    # Convert back to wav format
    buffer = io.BytesIO()
    audio.export(buffer, format="wav")
    return buffer.getvalue()

# Define Gradio interface
def remix_audio(file, genre):
    audio_bytes = file.read()
    output_audio = transform_audio(audio_bytes, genre)
    return output_audio

# Setting up Gradio inputs and outputs
genre_options = ["Dubstep", "Drumstep", "Trap", "EDM", "DnB", "Colour Bass"]
inputs = [gr.Audio(source="upload", type="file"), gr.Dropdown(choices=genre_options, label="Choose Genre")]
outputs = gr.Audio(type="file")

# Launch Gradio app
gr.Interface(fn=remix_audio, inputs=inputs, outputs=outputs, title="Song Remix Tool", 
             description="Upload a song and choose a genre to remix it into Dubstep, Drumstep, Trap, EDM, DnB, or Colour Bass.").launch()