small updates

run.ipynb

@@ -1,18 +1,8 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "id": 3.0293430767166755e+38,
-   "metadata": {
-    "id": 3.0293430767166755e+38
-   },
-   "source": [
-    "# Gradio Demo: blocks_flipper"
-   ]
-  },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 1,
    "id": 2.8891853944186117e+38,
    "metadata": {
     "colab": {
@@ -28,7 +18,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7865\n",
+      "Running on local URL:  http://127.0.0.1:7860\n",
       "\n",
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
@@ -36,7 +26,7 @@
     {
      "data": {
       "text/html": [
-       "<div><iframe src=\"http://127.0.0.1:7865/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -86,6 +76,7 @@
     "        with gr.Row():\n",
     "            with gr.Column(scale=1):\n",
     "                default_input_image = Image.open( os.path.join('online_demo', 'nerf_wild', 'step-100_scale-6.0', 'car1.png'))\n",
+    "                default_input_image.thumbnail([256, 256], Image.Resampling.LANCZOS) \n",
     "                input_image = gr.Image(default_input_image, shape=[256, 256])\n",
     "                options = sorted(next(os.walk('online_demo/nerf_wild/step-100_scale-6.0'))[1])\n",
     "                img_id = gr.Dropdown(options, value='car1', label='options')\n",
@@ -109,6 +100,7 @@
     "        with gr.Row():\n",
     "            with gr.Column(scale=1):\n",
     "                default_input_image = Image.open( os.path.join('online_demo', 'GSO', 'step-100_scale-6.0', 'SAMBA_HEMP', 'input.png'))\n",
+    "                default_input_image.thumbnail([256, 256], Image.Resampling.LANCZOS) \n",
     "                input_image = gr.Image(default_input_image, shape=[256, 256])\n",
     "                options = sorted(os.listdir('online_demo/GSO/step-100_scale-6.0'))\n",
     "                img_id = gr.Dropdown(options, value='SAMBA_HEMP', label='options')\n",
@@ -132,6 +124,7 @@
     "        with gr.Row():\n",
     "            with gr.Column(scale=1):\n",
     "                default_input_image = Image.open( os.path.join('online_demo', 'RTMV', 'step-100_scale-6.0', '00000', 'input.png'))\n",
+    "                default_input_image.thumbnail([256, 256], Image.Resampling.LANCZOS) \n",
     "                input_image = gr.Image(default_input_image, shape=[256, 256])\n",
     "                options = sorted(os.listdir('online_demo/RTMV/step-100_scale-6.0'))\n",
     "                img_id = gr.Dropdown(options, value='00000', label='options')\n",