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README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 4.44.1
+sdk_version: 5.0.0
 app_file: run.py
 pinned: false
 hf_oauth: true

requirements.txt

@@ -1,2 +1,5 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@a15381b23d3f6b59180e83a94a5279feccbf79a2#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/a15381b23d3f6b59180e83a94a5279feccbf79a2/gradio-4.44.1-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@bbf9ba7e997022960c621f72baa891185bd03732#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/bbf9ba7e997022960c621f72baa891185bd03732/gradio-5.0.0-py3-none-any.whl
+numpy
+requests
+Pillow

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: annotatedimage_component"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import pathlib\n", "from PIL import Image\n", "import numpy as np\n", "import urllib.request\n", "\n", "source_dir = pathlib.Path(__file__).parent\n", "\n", "urllib.request.urlretrieve(\n", "  'https://gradio-builds.s3.amazonaws.com/demo-files/base.png',\n", "   str(source_dir / \"base.png\")\n", ")\n", "urllib.request.urlretrieve(\n", "    \"https://gradio-builds.s3.amazonaws.com/demo-files/buildings.png\",\n", "    str(source_dir / \"buildings.png\")\n", ")\n", "\n", "base_image = Image.open(str(source_dir / \"base.png\"))\n", "building_image = Image.open(str(source_dir / \"buildings.png\"))\n", "\n", "# Create segmentation mask\n", "building_image = np.asarray(building_image)[:, :, -1] > 0\n", "\n", "with gr.Blocks() as demo:\n", "    gr.AnnotatedImage(\n", "        value=(base_image, [(building_image, \"buildings\")]),\n", "        height=500,\n", "    )\n", "\n", "demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: annotatedimage_component"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio numpy requests Pillow "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import numpy as np \n", "import requests \n", "from io import BytesIO\n", "from PIL import Image\n", "\n", "base_image = \"https://gradio-docs-json.s3.us-west-2.amazonaws.com/base.png\"\n", "building_image = requests.get(\"https://gradio-docs-json.s3.us-west-2.amazonaws.com/buildings.png\")\n", "building_image = np.asarray(Image.open(BytesIO(building_image.content)))[:, :, -1] > 0\n", "\n", "with gr.Blocks() as demo:\n", "    gr.AnnotatedImage(\n", "        value=(base_image, [(building_image, \"buildings\")]),\n", "        height=500,\n", "    )\n", "\n", "demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,25 +1,12 @@
 import gradio as gr
-import pathlib
+import numpy as np 
+import requests 
+from io import BytesIO
 from PIL import Image
-import numpy as np
-import urllib.request
 
-source_dir = pathlib.Path(__file__).parent
-
-urllib.request.urlretrieve(
-  'https://gradio-builds.s3.amazonaws.com/demo-files/base.png',
-   str(source_dir / "base.png")
-)
-urllib.request.urlretrieve(
-    "https://gradio-builds.s3.amazonaws.com/demo-files/buildings.png",
-    str(source_dir / "buildings.png")
-)
-
-base_image = Image.open(str(source_dir / "base.png"))
-building_image = Image.open(str(source_dir / "buildings.png"))
-
-# Create segmentation mask
-building_image = np.asarray(building_image)[:, :, -1] > 0
+base_image = "https://gradio-docs-json.s3.us-west-2.amazonaws.com/base.png"
+building_image = requests.get("https://gradio-docs-json.s3.us-west-2.amazonaws.com/buildings.png")
+building_image = np.asarray(Image.open(BytesIO(building_image.content)))[:, :, -1] > 0
 
 with gr.Blocks() as demo:
     gr.AnnotatedImage(
@@ -27,4 +14,4 @@ with gr.Blocks() as demo:
         height=500,
     )
 
-demo.launch()
+demo.launch()