Fix Gradio deprecated functionality in 272-paint-by-example (#1598)

* Fix gradio deprecated functionality

Signed-off-by: Ilya Trushkin <[email protected]>

* Resolve pip conflicts

Signed-off-by: Ilya Trushkin <[email protected]>

---------

Signed-off-by: Ilya Trushkin <[email protected]>

Author: itrushkin

notebooks/237-segment-anything/237-segment-anything.ipynb

@@ -79,7 +79,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -q \"segment_anything\" \"gradio>=3.25,<4.9\" \"openvino>=2023.1.0\" \"nncf>=2.5.0\" \"torch>=2.1\" \"torchvision>=0.16\"  --extra-index-url https://download.pytorch.org/whl/cpu"
+    "%pip install -q \"segment_anything\" \"gradio>=4.13\" \"openvino>=2023.1.0\" \"nncf>=2.5.0\" \"torch>=2.1\" \"torchvision>=0.16\"  --extra-index-url https://download.pytorch.org/whl/cpu"
    ]
   },
   {

notebooks/261-fast-segment-anything/261-fast-segment-anything.ipynb

@@ -62,7 +62,7 @@
     "%pip install -q \"ultralytics==8.0.200\" onnx --extra-index-url https://download.pytorch.org/whl/cpu\n",
     "%pip install -q \"openvino-dev>=2023.1.0\"\n",
     "%pip install -q \"nncf>=2.6.0\"\n",
-    "%pip install -q \"gradio<4.9\""
+    "%pip install -q \"gradio>=4.13\""
    ]
   },
   {

notebooks/272-paint-by-example/272-paint-by-example.ipynb

@@ -64,8 +64,9 @@
     }
    ],
    "source": [
-    "%pip install -q \"gradio>=3.50.2\"\n",
-    "%pip install -q \"diffusers>=-1.14.0\" \"openvino>=2023.2.0\" \"transformers>=4.25.1\""
+    "%pip install -q \"gradio>=4.10.0\"\n",
+    "%pip install -q torch torchvision --extra-index-url \"https://download.pytorch.org/whl/cpu\"\n",
+    "%pip install -q \"diffusers>=-1.14.0\" \"openvino>=2023.2.0\" \"transformers>=4.25.1\" ipywidgets opencv_python"
    ]
   },
   {
@@ -1151,37 +1152,36 @@
     "example = {}\n",
     "ref_dir = 'data/reference'\n",
     "image_dir = 'data/image'\n",
-    "ref_list = [os.path.join(ref_dir,file) for file in os.listdir(ref_dir)]\n",
+    "ref_list = [os.path.join(ref_dir,file) for file in os.listdir(ref_dir) if file.endswith(\".jpg\")]\n",
     "ref_list.sort()\n",
-    "image_list = [os.path.join(image_dir,file) for file in os.listdir(image_dir)]\n",
+    "image_list = [os.path.join(image_dir,file) for file in os.listdir(image_dir) if file.endswith(\".png\")]\n",
     "image_list.sort()\n",
     "\n",
     "\n",
     "image_blocks = gr.Blocks()\n",
     "with image_blocks as demo:\n",
     "    with gr.Group():\n",
-    "        with gr.Box():\n",
-    "            with gr.Row():\n",
-    "                with gr.Column():\n",
-    "                    image = gr.Image(source='upload', tool='sketch', elem_id=\"image_upload\", type=\"pil\", label=\"Source Image\")\n",
-    "                    reference = gr.Image(source='upload', elem_id=\"image_upload\", type=\"pil\", label=\"Reference Image\")\n",
-    "\n",
-    "                with gr.Column():\n",
-    "                    image_out = gr.Image(label=\"Output\", elem_id=\"output-img\")\n",
-    "                    steps = gr.Slider(label=\"Steps\", value=15, minimum=2, maximum=75, step=1,interactive=True)\n",
-    "\n",
-    "                    seed = gr.Slider(0, 10000, label='Seed (0 = random)', value=0, step=1)\n",
-    "\n",
-    "                    with gr.Row(elem_id=\"prompt-container\"):\n",
-    "                        btn = gr.Button(\"Paint!\")\n",
-    "                           \n",
-    "            with gr.Row():\n",
-    "                with gr.Column():\n",
-    "                    gr.Examples(image_list, inputs=[image],label=\"Examples - Source Image\",examples_per_page=12)\n",
-    "                with gr.Column():\n",
-    "                    gr.Examples(ref_list, inputs=[reference],label=\"Examples - Reference Image\",examples_per_page=12)\n",
-    "            \n",
-    "            btn.click(fn=predict, inputs=[image, reference, seed, steps], outputs=[image_out])\n",
+    "        with gr.Row():\n",
+    "            with gr.Column():\n",
+    "                image = gr.ImageEditor(sources=['upload'], type=\"pil\", label=\"Source Image\")\n",
+    "                reference = gr.Image(sources=['upload'], type=\"pil\", label=\"Reference Image\")\n",
+    "\n",
+    "            with gr.Column():\n",
+    "                image_out = gr.Image(label=\"Output\", elem_id=\"output-img\")\n",
+    "                steps = gr.Slider(label=\"Steps\", value=15, minimum=2, maximum=75, step=1,interactive=True)\n",
+    "\n",
+    "                seed = gr.Slider(0, 10000, label='Seed (0 = random)', value=0, step=1)\n",
+    "\n",
+    "                with gr.Row(elem_id=\"prompt-container\"):\n",
+    "                    btn = gr.Button(\"Paint!\")\n",
+    "                       \n",
+    "        with gr.Row():\n",
+    "            with gr.Column():\n",
+    "                gr.Examples(image_list, inputs=[image],label=\"Examples - Source Image\",examples_per_page=12)\n",
+    "            with gr.Column():\n",
+    "                gr.Examples(ref_list, inputs=[reference],label=\"Examples - Reference Image\",examples_per_page=12)\n",
+    "        \n",
+    "        btn.click(fn=predict, inputs=[image, reference, seed, steps], outputs=[image_out])\n",
     "\n",
     "# Launching the Gradio app\n",
     "try:\n",

notebooks/274-efficient-sam/274-efficient-sam.ipynb

@@ -54,7 +54,7 @@
    "outputs": [],
    "source": [
     "%pip uninstall -y -q openvino openvino-dev openvino-nightly\n",
-    "%pip install -q openvino-nightly \"nncf>=2.7\" opencv-python matplotlib \"gradio<4.9\" torch torchvision --extra-index-url https://download.pytorch.org/whl/cpu"
+    "%pip install -q openvino-nightly \"nncf>=2.7\" opencv-python matplotlib \"gradio>=4.13\" torch torchvision --extra-index-url https://download.pytorch.org/whl/cpu"
    ]
   },
   {