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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "API_KEY = \"YHI5AIKD4BEJ5M0C6U06I00OMHMT6LS0L7T2JD4T\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import runpod\n",
    "import requests\n",
    "from voice_generation import generate_wav\n",
    "import boto3\n",
    "import os\n",
    "import uuid\n",
    "from pydub import AudioSegment\n",
    "import time\n",
    "import subprocess\n",
    "\n",
    "\n",
    "AWS_ACCESS_KEY_ID = \"AKIA6KIDWRLG42X2ZH7M\"\n",
    "AWS_SECRET_ACCESS_KEY = \"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\"\n",
    "\n",
    "\n",
    "models = {\n",
    "    'kanye': 'weights/kanye.pth',\n",
    "    'rose-bp': 'weights/rose-bp.pth',\n",
    "    'jungkook': 'weights/jungkook.pth',\n",
    "    'iu': 'weights/iu.pth',\n",
    "    'drake': 'weights/drake.pth',\n",
    "    'ariana-grande': 'weights/ariana-grande.pth'\n",
    "}\n",
    "\n",
    "\n",
    "print('run handler')\n",
    "\n",
    "\n",
    "def split_audio():\n",
    "    subprocess.call([\"env/bin/python\", \"deezer-split.py\"])\n",
    "\n",
    "\n",
    "def combine_audio(voice_path, instrumental_path):\n",
    "    audio1 = AudioSegment.from_file(instrumental_path, format=\"mp3\")\n",
    "    audio2 = AudioSegment.from_file(voice_path, format=\"mp3\")\n",
    "    \n",
    "    length = max(len(audio1), len(audio2))\n",
    "    audio1 = audio1 + AudioSegment.silent(duration=length - len(audio1))\n",
    "    audio2 = audio2 + AudioSegment.silent(duration=length - len(audio2))\n",
    "    \n",
    "    combined = audio1.overlay(audio2)\n",
    "    \n",
    "    combined.export(\"combined.mp3\", format=\"mp3\")\n",
    "\n",
    "\n",
    "def upload_file_to_s3(local_file_path, s3_file_path):\n",
    "    bucket_name = 'voice-gen-audios'\n",
    "    s3 = boto3.client('s3', aws_access_key_id=AWS_ACCESS_KEY_ID, aws_secret_access_key=AWS_SECRET_ACCESS_KEY)\n",
    "    try:\n",
    "        s3.upload_file(local_file_path, bucket_name, s3_file_path)\n",
    "        return {\"url\": f\"https://{bucket_name}.s3.eu-north-1.amazonaws.com/{s3_file_path}\"}\n",
    "    except boto3.exceptions.S3UploadFailedError as e:\n",
    "        return {\"error\": f\"failed to upload file {local_file_path} to s3 as {s3_file_path}\"}\n",
    "\n",
    "\n",
    "def clean_up_files(remove_voice_model=False):\n",
    "    files = [\n",
    "        \"song.mp3\",\n",
    "        \"accompaniment.mp3\",\n",
    "        \"vocals.mp3\",\n",
    "        \"output_vocal.mp3\",\n",
    "        \"combined.mp3\",\n",
    "    ]\n",
    "    if remove_voice_model:\n",
    "        files.append(\"voice_model.pth\")\n",
    "    for file in files:\n",
    "        try:\n",
    "            os.remove(file)\n",
    "        except FileNotFoundError:\n",
    "            return {\"error\": f\"failed to remove file {file}\"}\n",
    "    return {\"success\": \"files removed successfully\"}\n",
    "\n",
    "\n",
    "def get_voice_model(event):\n",
    "    voice_model_id = event[\"input\"].get(\"voice_model_id\", \"\")\n",
    "    voice_model_url = event[\"input\"].get(\"voice_model_url\", \"\")\n",
    "    \n",
    "    if not voice_model_url and not voice_model_id:\n",
    "        return {\"error\": \"voice_model_url or voice_model_id is required\"}\n",
    "\n",
    "    if voice_model_id and voice_model_id not in models:\n",
    "        return {\"error\": \"model not found in pre-loaded models\"}\n",
    "    \n",
    "    if voice_model_id:\n",
    "        return {\"model_path\": models[voice_model_id]}\n",
    "    \n",
    "    print(\"downloading voice_model\")\n",
    "    voice_model_response = requests.get(voice_model_url)\n",
    "    if voice_model_response.status_code != 200:\n",
    "        return {\"error\": f\"failed to download voice_model, error: {voice_model_response.text}\"}\n",
    "    \n",
    "    with open(\"voice_model.pth\", \"wb\") as f:\n",
    "        f.write(voice_model_response.content)\n",
    "\n",
    "    return {\"model_path\": \"voice_model.pth\"}\n",
    "\n",
    "\n",
    "def handler(event):\n",
    "    print(event)\n",
    "    file_id = str(uuid.uuid4())\n",
    "    user_id = event[\"input\"].get(\"user_id\", \"not provided\")\n",
    "    \n",
    "    if not AWS_ACCESS_KEY_ID or not AWS_SECRET_ACCESS_KEY:\n",
    "        return {\"error\": \"AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY are missing from environment variables\"}\n",
    "    \n",
    "    voice_model = get_voice_model(event)\n",
    "    if \"error\" in voice_model:\n",
    "        return voice_model.get(\"error\")\n",
    "    \n",
    "    song_url = event[\"input\"].get(\"song_url\", \"\")\n",
    "\n",
    "    if song_url == \"\":\n",
    "        return {\"error\": \"voice_url is required\"}\n",
    "\n",
    "    song_file = requests.get(song_url)\n",
    "    if song_file.status_code != 200:\n",
    "        return {\"error\": \"failed to download song_file\"}\n",
    "    \n",
    "    with open(\"song.mp3\", \"wb\") as f:\n",
    "        f.write(song_file.content)\n",
    "\n",
    "    splitting_start = time.time()  # remove after testing\n",
    "    split_audio()\n",
    "    splitting_end = time.time()  # remove after testing\n",
    "    time_taken_splitting = splitting_end - splitting_start  # remove after testing\n",
    "    print(f\"splitting took {time_taken_splitting} seconds\")  # remove after testing\n",
    "\n",
    "    if not os.path.exists(\"accompaniment.mp3\") or not os.path.exists(\"vocals.mp3\"):\n",
    "        return {\"error\": \"failed to split song\"}\n",
    "\n",
    "\n",
    "    \n",
    "    song_instruments = upload_file_to_s3(\"accompaniment.mp3\", f\"{file_id}-split-accompaniment.mp3\")\n",
    "    song_vocals = upload_file_to_s3(\"vocals.mp3\", f\"{file_id}-split-vocals.mp3\")\n",
    "    if \"error\" in song_instruments:\n",
    "        return song_instruments.get(\"error\")\n",
    "    if \"error\" in song_vocals:\n",
    "        return song_vocals.get(\"error\")\n",
    "\n",
    "\n",
    "    gemeration_start = time.time()  # remove after testing\n",
    "\n",
    "    generation = generate_wav(\n",
    "        audio_file='vocals.mp3',\n",
    "        method='pm',\n",
    "        index_rate=0.6,\n",
    "        output_file='output_vocal.mp3',\n",
    "        model_path=voice_model.get(\"model_path\")\n",
    "    )\n",
    "    generation_end = time.time()  # remove after testing\n",
    "    time_taken_generation = generation_end - gemeration_start  # remove after testing\n",
    "    print(f\"generation took {time_taken_generation} seconds\")  # remove after testing\n",
    "    \n",
    "    if \"error\" in generation:\n",
    "        return generation.get(\"error\")\n",
    "\n",
    "    print(\"before combining\")\n",
    "    combine_audio(\"output_vocal.mp3\", \"accompaniment.mp3\")\n",
    "    print(\"after combining\")\n",
    "\n",
    "    if not os.path.exists(\"combined.mp3\"):\n",
    "        return {\"error\": \"failed to combine audio\"}\n",
    "\n",
    "    combined = upload_file_to_s3(\"combined.mp3\", f\"{file_id}.mp3\")\n",
    "    output_voice = upload_file_to_s3(\"output_vocal.mp3\", f\"{file_id}-generated-voical.mp3\")\n",
    "\n",
    "    if combined_error := combined.get(\"error\"):\n",
    "        return combined_error\n",
    "    \n",
    "    if output_voice_error := output_voice.get(\"error\"):\n",
    "        return output_voice_error\n",
    "    \n",
    "    combined_url = combined.get(\"url\")\n",
    "    output_voice_url = output_voice.get(\"url\")\n",
    "\n",
    "    need_to_remove_voice_model = False\n",
    "    if voice_model.get(\"model_path\") == \"voice_model.pth\":\n",
    "        need_to_remove_voice_model = True\n",
    "    cleanup_result = clean_up_files(need_to_remove_voice_model)\n",
    "    if cleanup_error := cleanup_result.get(\"error\"):\n",
    "        return cleanup_error\n",
    "\n",
    "    return {\n",
    "        \"combined_url\": combined_url,\n",
    "        \"output_voice_url\": output_voice_url,\n",
    "        \"user_id\": user_id,\n",
    "        \"time_taken_splitting\": time_taken_splitting,  # remove after testing\n",
    "        \"time_taken_generation\": time_taken_generation,  # remove after testing\n",
    "    }\n",
    "\n",
    "\n",
    "\n",
    "result = handler({\n",
    "    \"input\": {\n",
    "        \"song_url\": \"https://voice-gen-audios.s3.eu-north-1.amazonaws.com/combined_trimmed_original.mp3\",\n",
    "        \"user_id\": \"test_user\",\n",
    "        \"voice_model_id\": \"kanye\"\n",
    "        # \"voice_model_url\": \"https://rvc-models.s3.amazonaws.com/lilbaby.pth\"\n",
    "    }\n",
    "})\n",
    "\n",
    "print(result)"
   ]
  }
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