Delete gradio.ipynb

gradio.ipynb

@@ -1,209 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Imports\n",
-    "from PIL import Image, ImageFilter\n",
-    "import numpy as np\n",
-    "from transformers import pipeline\n",
-    "import gradio as gr\n",
-    "import os\n",
-    "\n",
-    "model = pipeline(\"image-segmentation\", model=\"facebook/detr-resnet-50-panoptic\")\n",
-    "\n",
-    "pred = []\n",
-    "\n",
-    "def img_resize(image):\n",
-    "    width = 1000\n",
-    "    width_percent = (width / float(image.size[0]))\n",
-    "    height = int((float(image.size[1]) * float(width_percent)))\n",
-    "    return image.resize((width, height))\n",
-    "\n",
-    "def image_objects(image):\n",
-    "    global pred\n",
-    "    image = img_resize(image)\n",
-    "    pred = model(image)\n",
-    "    pred_object_list = [str(i)+'_'+x['label'] for i, x in enumerate(pred)]\n",
-    "    return gr.Dropdown.update(choices = pred_object_list, interactive = True)\n",
-    "\n",
-    "def blurr_object(image, object, blur_strength):\n",
-    "    image = img_resize(image)\n",
-    "\n",
-    "    object_number = int(object.split('_')[0])\n",
-    "    mask_array = np.asarray(pred[object_number]['mask'])/255\n",
-    "    image_array = np.asarray(image)\n",
-    "\n",
-    "    mask_array_three_channel = np.zeros_like(image_array)\n",
-    "    mask_array_three_channel[:,:,0] = mask_array\n",
-    "    mask_array_three_channel[:,:,1] = mask_array\n",
-    "    mask_array_three_channel[:,:,2] = mask_array\n",
-    "\n",
-    "    segmented_image = image_array*mask_array_three_channel\n",
-    "\n",
-    "    blur_image = np.asarray(image.filter(ImageFilter.GaussianBlur(radius=blur_strength)))\n",
-    "    mask_array_three_channel_invert = 1-mask_array_three_channel\n",
-    "    blur_image_reverse_mask = blur_image*mask_array_three_channel_invert\n",
-    "\n",
-    "    blurred_output_image = Image.fromarray((blur_image_reverse_mask).astype(np.uint8)+segmented_image.astype(np.uint8))\n",
-    "\n",
-    "    return blurred_output_image\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Running on local URL:  http://127.0.0.1:7862/\n",
-      "\n",
-      "To create a public link, set `share=True` in `launch()`.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div><iframe src=\"http://127.0.0.1:7862/\" width=\"900\" height=\"500\" allow=\"autoplay; camera; microphone;\" frameborder=\"0\" allowfullscreen></iframe></div>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Traceback (most recent call last):\n",
-      "  File \"/home/nybsysml/anaconda3/envs/mediapipe3_7/lib/python3.7/site-packages/gradio/routes.py\", line 256, in run_predict\n",
-      "    fn_index, raw_input, username, session_state\n",
-      "  File \"/home/nybsysml/anaconda3/envs/mediapipe3_7/lib/python3.7/site-packages/gradio/blocks.py\", line 599, in process_api\n",
-      "    predictions, duration = await self.call_function(fn_index, processed_input)\n",
-      "  File \"/home/nybsysml/anaconda3/envs/mediapipe3_7/lib/python3.7/site-packages/gradio/blocks.py\", line 515, in call_function\n",
-      "    block_fn.fn, *processed_input, limiter=self.limiter\n",
-      "  File \"/home/nybsysml/anaconda3/envs/mediapipe3_7/lib/python3.7/site-packages/anyio/to_thread.py\", line 32, in run_sync\n",
-      "    func, *args, cancellable=cancellable, limiter=limiter\n",
-      "  File \"/home/nybsysml/anaconda3/envs/mediapipe3_7/lib/python3.7/site-packages/anyio/_backends/_asyncio.py\", line 937, in run_sync_in_worker_thread\n",
-      "    return await future\n",
-      "  File \"/home/nybsysml/anaconda3/envs/mediapipe3_7/lib/python3.7/site-packages/anyio/_backends/_asyncio.py\", line 867, in run\n",
-      "    result = context.run(func, *args)\n",
-      "  File \"/tmp/ipykernel_6335/646230931.py\", line 20, in image_objects\n",
-      "    image = img_resize(image)\n",
-      "  File \"/tmp/ipykernel_6335/646230931.py\", line 14, in img_resize\n",
-      "    width_percent = (width / float(image.size[0]))\n",
-      "AttributeError: 'NoneType' object has no attribute 'size'\n"
-     ]
-    }
-   ],
-   "source": [
-    "app = gr.Blocks()\n",
-    "\n",
-    "\n",
-    "with app:\n",
-    "    gr.Markdown(\n",
-    "            \"\"\"\n",
-    "            ## Portrait Photo Generator\n",
-    "            - Create stunning portrait photos by blurring the background of your selected object.\n",
-    "            - Adjust the blurring strength using the slider.\n",
-    "            \"\"\")\n",
-    "    with gr.Row():\n",
-    "        with gr.Column():\n",
-    "            gr.Markdown(\n",
-    "            \"\"\"\n",
-    "            ### Input Image\n",
-    "            \"\"\")\n",
-    "            image_input = gr.Image(type=\"pil\")\n",
-    "            \n",
-    "\n",
-    "        with gr.Column():\n",
-    "            with gr.Row():\n",
-    "                gr.Markdown(\n",
-    "                \"\"\"\n",
-    "                ### Found Objects\n",
-    "                \"\"\")\n",
-    "            with gr.Row():\n",
-    "                blur_slider = gr.Slider(minimum=0.5, maximum=10, value=3, label=\"Adject Blur Strength\")\n",
-    "            with gr.Row():\n",
-    "                object_output = gr.Dropdown(label=\"Select Object From Dropdown\")\n",
-    "\n",
-    "    \n",
-    "    with gr.Row():\n",
-    "        with gr.Column():\n",
-    "            gr.Markdown(\n",
-    "                \"\"\"\n",
-    "                ### Blurred Image Output\n",
-    "                \"\"\")\n",
-    "            image_output = gr.Image()\n",
-    "        with gr.Column():\n",
-    "            gr.Markdown(\n",
-    "                \"\"\"\n",
-    "                ### Example Images\n",
-    "                \"\"\")\n",
-    "            gr.Examples(\n",
-    "                examples=[\n",
-    "                \"test_images/dog_horse_cowboy.jpg\",\n",
-    "                \"test_images/woman_and_dog.jpg\",\n",
-    "                \"test_images/family_in_sofa.jpg\",\n",
-    "                \"test_images/group_of_friends.jpg\",\n",
-    "                \"test_images/people_group.jpg\"\n",
-    "                ],\n",
-    "                fn=image_objects,\n",
-    "                inputs=image_input, \n",
-    "                outputs=object_output)\n",
-    "\n",
-    "    image_input.change(fn=image_objects, \n",
-    "        inputs=image_input, \n",
-    "        outputs=object_output\n",
-    "        )\n",
-    "\n",
-    "    object_output.change(fn=blurr_object, \n",
-    "        inputs=[image_input, object_output, blur_slider],\n",
-    "        outputs=image_output)\n",
-    "\n",
-    "    blur_slider.change(fn=blurr_object, \n",
-    "        inputs=[image_input, object_output, blur_slider],\n",
-    "        outputs=image_output)\n",
-    "    \n",
-    "\n",
-    "app.launch(debug=True)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3.9.7 ('base')",
-   "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": "3.9.7"
-  },
-  "orig_nbformat": 4,
-  "vscode": {
-   "interpreter": {
-    "hash": "d03b47a5a9bfc09262d9700ac41deff9ead9ff3e21241983433bdf2900140cd2"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}