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Inference Endpoints
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.10/dist-packages/torchvision/transforms/functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be **removed in 0.17**. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "from handler import EndpointHandler\n",
    "import base64\n",
    "from io import BytesIO\n",
    "from PIL import Image\n",
    "import cv2\n",
    "import random\n",
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'image_url': 'https://jiffy-staging-upscaled-images.s3.amazonaws.com/cfd6161a-4eaa-4077-b4ed-0ad0319508e6.png', 'image_key': 'cfd6161a-4eaa-4077-b4ed-0ad0319508e6.png', 'error': None}\n",
      "https://jiffy-staging-upscaled-images.s3.amazonaws.com/cfd6161a-4eaa-4077-b4ed-0ad0319508e6.png cfd6161a-4eaa-4077-b4ed-0ad0319508e6.png None\n"
     ]
    }
   ],
   "source": [
    "\n",
    "API_URL = \"https://uyw9tcuw0ydpsqmw.us-east-1.aws.endpoints.huggingface.cloud\"\n",
    "headers = {\n",
    "\t\"Accept\" : \"application/json\",\n",
    "\t\"Authorization\": \"Bearer hf_XXXX\",\n",
    " \t\"Content-Type\": \"application/json\",\n",
    "}\n",
    "\n",
    "img_dir = \"test_data/\"\n",
    "img_urls = [\"https://jiffy-transfers.imgix.net/2/attachments/r267odvvfmkp6c5lccj1y6f9trb0?ixlib=rb-0.3.5\",\n",
    "            # \"https://jiffy-staging-transfers.imgix.net/2/development/attachments/zo31eau0ykhbwoddrjtlbyz6w9mp?ixlib=rb-0.3.5\", # larger than > 1.96M pixels\n",
    "            # \"https://jiffy-staging-transfers.imgix.net/2/development/attachments/b8ecchms9rr9wk3g71kfpfprqg1v?ixlib=rb-0.3.5\" # larger than > 1.96M pixels\n",
    "           ]\n",
    "out_scales = [3, 3, 2.49]\n",
    "for img_url, outscale in zip(img_urls, out_scales):\n",
    "\t# create payload\n",
    "\tpayload = {\"inputs\": {\"image_url\": img_url, \"outscale\": outscale}}\n",
    "\t\t\n",
    "\tresponse = requests.post(API_URL, headers=headers, json=payload)\n",
    "\toutput_payload = response.json()\t\n",
    "\tprint(output_payload['image_url'], output_payload['image_key'], output_payload['error'])\n",
    "\tbreak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "diffusers",
   "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": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}