[Gradio] Fix deprecated method calls (#1422)

* Apply gradio deprecation errors fix Signed-off-by: Ilya Trushkin <ilya.trushkin@intel.com> * Replace .style and gr.Box usages Signed-off-by: Ilya Trushkin <ilya.trushkin@intel.com> * Apply review comments Signed-off-by: Ilya Trushkin <ilya.trushkin@intel.com> * Add upper bound for torch version Signed-off-by: Ilya Trushkin <ilya.trushkin@intel.com> --------- Signed-off-by: Ilya Trushkin <ilya.trushkin@intel.com>
openvinotoolkit · Nov 9, 2023 · a9fccc6 · a9fccc6
1 parent d527de0
commit a9fccc6
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Showing 5 changed files with 30 additions and 29 deletions.
diff --git a/notebooks/223-text-prediction/223-text-prediction.ipynb b/notebooks/223-text-prediction/223-text-prediction.ipynb
@@ -766,20 +766,26 @@
     "            return history\n",
     "\n",
     "        with gr.Blocks() as demo:\n",
-    "            chatbot = gr.Chatbot([], elem_id=\"chatbot\").style()\n",
+    "            chatbot = gr.Chatbot([], elem_id=\"chatbot\")\n",
     "\n",
     "            with gr.Row():\n",
     "                with gr.Column():\n",
     "                    txt = gr.Textbox(\n",
     "                        show_label=False,\n",
     "                        placeholder=\"Enter text and press enter, or upload an image\",\n",
-    "                    ).style(container=False)\n",
+    "                        container=False\n",
+    "                    )\n",
     "\n",
     "            txt.submit(add_text, [chatbot, txt], [chatbot, txt]).then(\n",
     "                bot, chatbot, chatbot\n",
     "            )\n",
-    "\n",
-    "        demo.launch()\n",
+    "        try:\n",
+    "            demo.launch(debug=True)\n",
+    "        except Exception:\n",
+    "            demo.launch(debug=True, share=True)\n",
+    "        # if you are launching remotely, specify server_name and server_port\n",
+    "        # demo.launch(server_name='your server name', server_port='server port in int')\n",
+    "        # Read more in the docs: https://gradio.app/docs/\n",
     "else:\n",
     "    print(\"Selected Model is not PersonaGPT, Please select PersonaGPT in the first cell to have a conversation\")"
    ]

diff --git a/notebooks/237-segment-anything/237-segment-anything.ipynb b/notebooks/237-segment-anything/237-segment-anything.ipynb
@@ -1116,16 +1116,6 @@
     "tags": []
    },
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_862585/1907223323.py:46: GradioDeprecationWarning: The `style` method is deprecated. Please set these arguments in the constructor instead.\n",
-      "  input_img = gr.Image(label=\"Input\", type=\"numpy\").style(height=480, width=480)\n",
-      "/tmp/ipykernel_862585/1907223323.py:47: GradioDeprecationWarning: The `style` method is deprecated. Please set these arguments in the constructor instead.\n",
-      "  output_img = gr.Image(label=\"Selected Segment\", type=\"numpy\").style(height=480, width=480)\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -1194,8 +1184,8 @@
     "        \n",
     "with gr.Blocks() as demo:\n",
     "    with gr.Row():\n",
-    "        input_img = gr.Image(label=\"Input\", type=\"numpy\").style(height=480, width=480)\n",
-    "        output_img = gr.Image(label=\"Selected Segment\", type=\"numpy\").style(height=480, width=480)\n",
+    "        input_img = gr.Image(label=\"Input\", type=\"numpy\", height=480, width=480)\n",
+    "        output_img = gr.Image(label=\"Selected Segment\", type=\"numpy\", height=480, width=480)\n",
     "    \n",
     "    def on_image_change(img):\n",
     "        segmenter.set_image(img)\n",

diff --git a/notebooks/240-dolly-2-instruction-following/240-dolly-2-instruction-following.ipynb b/notebooks/240-dolly-2-instruction-following/240-dolly-2-instruction-following.ipynb
@@ -701,9 +701,13 @@
     "\n",
     "if __name__ == \"__main__\":\n",
     "    try:\n",
-    "        demo.launch(enable_queue=True, share=False, height=800)\n",
+    "        demo.queue().launch(debug=True, height=800)\n",
     "    except Exception:\n",
-    "        demo.launch(enable_queue=True, share=True, height=800)"
+    "        demo.queue().launch(debug=True, share=True, height=800)\n",
+    "\n",
+    "# If you are launching remotely, specify server_name and server_port\n",
+    "# EXAMPLE: `demo.launch(server_name='your server name', server_port='server port in int')`\n",
+    "# To learn more please refer to the Gradio docs: https://gradio.app/docs/"
    ]
   }
  ],

diff --git a/notebooks/241-riffusion-text-to-music/241-riffusion-text-to-music.ipynb b/notebooks/241-riffusion-text-to-music/241-riffusion-text-to-music.ipynb
@@ -67,7 +67,7 @@
    "outputs": [],
    "source": [
     "%pip install -q \"diffusers>=0.16.1\" \"transformers>=4.28.0\"\n",
-    "%pip install -q --extra-index-url https://download.pytorch.org/whl/cpu torch torchaudio\n",
+    "%pip install -q --extra-index-url https://download.pytorch.org/whl/cpu \"torch<2.1\" \"torchaudio<2.1\"\n",
     "%pip install -q \"git+https://github.com/huggingface/optimum-intel.git\" onnx onnxruntime \"gradio>=3.34.0\" \"openvino>=2023.1.0\""
    ]
   },
@@ -631,23 +631,26 @@
     "            \n",
     "    with gr.Column():\n",
     "        sound_output = gr.Audio(type='filepath', label=\"spectrogram sound\")\n",
-    "        spectrogram_output = gr.Image(label=\"spectrogram image result\")\n",
-    "        spectrogram_output.style(height=256)\n",
+    "        spectrogram_output = gr.Image(label=\"spectrogram image result\", height=256)\n",
     "    \n",
     "    send_btn.click(generate, inputs=[prompt_input, negative_prompt], outputs=[spectrogram_output, sound_output])\n",
     "    device.change(select_device, [device, prompt_input], [prompt_input])\n",
     "\n",
     "if __name__ == \"__main__\":\n",
     "    try:\n",
-    "        demo.launch(enable_queue=True, height=800)\n",
+    "        demo.queue().launch(debug=True, height=800)\n",
     "    except Exception:\n",
-    "        demo.launch(enable_queue=True, share=True, height=800)"
+    "        demo.queue().launch(debug=True, share=True, height=800)\n",
+    "\n",
+    "# If you are launching remotely, specify server_name and server_port\n",
+    "# EXAMPLE: `demo.launch(server_name='your server name', server_port='server port in int')`\n",
+    "# To learn more please refer to the Gradio docs: https://gradio.app/docs/"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -661,7 +664,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.10.12"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {

diff --git a/notebooks/252-fastcomposer-image-generation/252-fastcomposer-image-generation.ipynb b/notebooks/252-fastcomposer-image-generation/252-fastcomposer-image-generation.ipynb
@@ -1154,7 +1154,7 @@
     "        gr.Markdown(DESCRIPTION)\n",
     "        with gr.Row():\n",
     "            with gr.Column():\n",
-    "                with gr.Box():\n",
+    "                with gr.Group():\n",
     "                    image1 = gr.Image(label=\"Image 1\", type=\"pil\")\n",
     "                    gr.Examples(\n",
     "                        examples=[\"fastcomposer/data/newton.jpeg\"],\n",
@@ -1219,9 +1219,7 @@
     "                        value=50,\n",
     "                    )\n",
     "            with gr.Column():\n",
-    "                result = gr.Gallery(label=\"Generated Images\").style(\n",
-    "                    grid=[2], height=\"auto\"\n",
-    "                )\n",
+    "                result = gr.Gallery(label=\"Generated Images\", columns=[2])\n",
     "                error_message = gr.Text(label=\"Job Status\")\n",
     "\n",
     "        inputs = [\n",