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README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 5.49.1
+sdk_version: 6.0.0
 app_file: run.py
 pinned: false
 hf_oauth: true

requirements.txt

@@ -1,2 +1,2 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@e05eb8df38a4ca20993e94ca4e209cf8110bb677#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/e05eb8df38a4ca20993e94ca4e209cf8110bb677/gradio-5.49.1-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@d007e6cf617baba5c62e49ec2b7ce278aa863a79#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/d007e6cf617baba5c62e49ec2b7ce278aa863a79/gradio-6.0.0-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: image_mod_default_image"]}, {"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", "from gradio.media import get_image\n", "\n", "def image_mod(image):\n", "    return image.rotate(45)\n", "\n", "# get_image() returns file paths to sample media included with Gradio\n", "cheetah = get_image(\"cheetah1.jpg\")\n", "\n", "demo = gr.Interface(image_mod, gr.Image(type=\"pil\", value=cheetah), \"image\",\n", "    flagging_options=[\"blurry\", \"incorrect\", \"other\"], examples=[\n", "        get_image(\"lion.jpg\"),\n", "        get_image(\"logo.png\")\n", "        ])\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch(max_file_size=\"70kb\")\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: image_mod_default_image"]}, {"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", "from gradio.media import get_image\n", "\n", "def image_mod(image):\n", "    return image.rotate(45)\n", "\n", "# get_image() returns file paths to sample media included with Gradio\n", "cheetah = get_image(\"cheetah1.jpg\")\n", "\n", "demo = gr.Interface(image_mod, gr.Image(type=\"pil\", value=cheetah), \"image\",\n", "                    api_name=\"predict\",\n", "    flagging_options=[\"blurry\", \"incorrect\", \"other\"], examples=[\n", "        get_image(\"lion.jpg\"),\n", "        get_image(\"logo.png\")\n", "        ])\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch(max_file_size=\"70kb\")\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -8,6 +8,7 @@ def image_mod(image):
 cheetah = get_image("cheetah1.jpg")
 
 demo = gr.Interface(image_mod, gr.Image(type="pil", value=cheetah), "image",
+                    api_name="predict",
     flagging_options=["blurry", "incorrect", "other"], examples=[
         get_image("lion.jpg"),
         get_image("logo.png")