{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9f0e1e4b-e36a-4dfe-adfd-6f99fb1d39f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from app import animate_images, AudioInput, SpotifyApi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "98b2afd2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fetching Space from: https://huggingface.co/spaces/runwayml/stable-diffusion-v1-5\n",
      "Gradio Blocks instance: 3 backend functions\n",
      "-------------------------------------------\n",
      "fn_index=0\n",
      " inputs:\n",
      " |-dataset\n",
      " outputs:\n",
      " |-textbox\n",
      " |-gallery\n",
      "fn_index=1\n",
      " inputs:\n",
      " |-textbox\n",
      " outputs:\n",
      " |-gallery\n",
      "fn_index=2\n",
      " inputs:\n",
      " |-textbox\n",
      " outputs:\n",
      " |-gallery\n"
     ]
    }
   ],
   "source": [
    "\n",
    "import gradio as gr\n",
    "stable_diffusion = gr.Blocks.load(name=\"spaces/runwayml/stable-diffusion-v1-5\")\n",
    "gallery_dir = stable_diffusion(\"hi\", fn_index=0)\n",
    "\n",
    "print(stable_diffusion)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "778fa4aa-cc12-4c33-a866-47ddcedcaf5f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:spodcast.podcast:Downloaded Hello Internet: Nine Ladies Dancing\n"
     ]
    }
   ],
   "source": [
    "def test_spotify_downloads():\n",
    "    url = \"https://open.spotify.com/episode/3Ev4jlIjT8IVih1Oxidhqf?si=54a95e8fb07640c5\"\n",
    "    api = SpotifyApi(url=url)\n",
    "    api.download_episode()\n",
    "    api.download_image()\n",
    "    api.get_title()\n",
    "\n",
    "test_spotify_downloads()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "237e3903",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<moviepy.video.VideoClip.ImageClip at 0x7f5951ec8700>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from moviepy.editor import ImageClip\n",
    "\n",
    "ImageClip(img=\"/notebooks/stablepod/temp/1ae3a379.jpg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de461d9b-bfbb-4d2d-b35e-fc3889494991",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_test_image_paths():\n",
    "    gallery_dir = \"temp/images\"\n",
    "    return [os.path.join(gallery_dir, img) for img in os.listdir(gallery_dir)][:2]\n",
    "\n",
    "get_test_image_paths()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "99df13fd-bd5d-4964-9300-016fcf7625e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_test_audio_paths():\n",
    "    audio_path = \"temp/audio.mp3\"\n",
    "    audio_input = AudioInput(audio_path, 10, 10)\n",
    "    return audio_input\n",
    "\n",
    "get_test_audio_paths()"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3.9.13 ('stablepod-9sY-ATvg')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
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  "vscode": {
   "interpreter": {
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 },
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