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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: blocks_joined"]}, {"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": ["from time import sleep\n", "import gradio as gr\n", "from gradio.media import get_image\n", "\n", "# get_image() returns file paths to sample media included with Gradio\n", "cheetah = get_image(\"cheetah1.jpg\")\n", "\n", "def img(text):\n", "    sleep(3)\n", "    return [\n", "        cheetah,\n", "        cheetah,\n", "        cheetah,\n", "        cheetah,\n", "        cheetah,\n", "        cheetah,\n", "        cheetah,\n", "        cheetah,\n", "        cheetah,\n", "    ]\n", "\n", "with gr.Blocks(css=\".container { max-width: 800px; margin: auto; }\") as demo:\n", "    gr.Markdown(\"<h1><center>DALL\u00b7E mini</center></h1>\")\n", "    gr.Markdown(\n", "        \"DALL\u00b7E mini is an AI model that generates images from any prompt you give!\"\n", "    )\n", "    with gr.Group():\n", "        with gr.Row(equal_height=True):\n", "            text = gr.Textbox(\n", "                label=\"Enter your prompt\",\n", "                max_lines=1,\n", "                container=False,\n", "            )\n", "            btn = gr.Button(\"Run\", scale=0)\n", "        gallery = gr.Gallery(\n", "            label=\"Generated images\",\n", "            show_label=False,\n", "            columns=1,\n", "            height=\"auto\",\n", "        )\n", "    btn.click(img, inputs=text, outputs=gallery)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n", "\n", "# margin = (TOP, RIGHT, BOTTOM, LEFT)\n", "# rounded = (TOPLEFT, TOPRIGHT, BOTTOMRIGHT, BOTTOMLEFT)\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: blocks_joined"]}, {"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": ["from time import sleep\n", "import gradio as gr\n", "from gradio.media import get_image\n", "\n", "# get_image() returns file paths to sample media included with Gradio\n", "cheetah = get_image(\"cheetah1.jpg\")\n", "\n", "def img(text):\n", "    sleep(3)\n", "    return [\n", "        cheetah,\n", "        cheetah,\n", "        cheetah,\n", "        cheetah,\n", "        cheetah,\n", "        cheetah,\n", "        cheetah,\n", "        cheetah,\n", "        cheetah,\n", "    ]\n", "\n", "with gr.Blocks() as demo:\n", "    gr.Markdown(\"<h1><center>DALL\u00b7E mini</center></h1>\")\n", "    gr.Markdown(\n", "        \"DALL\u00b7E mini is an AI model that generates images from any prompt you give!\"\n", "    )\n", "    with gr.Group():\n", "        with gr.Row(equal_height=True):\n", "            text = gr.Textbox(\n", "                label=\"Enter your prompt\",\n", "                max_lines=1,\n", "                container=False,\n", "            )\n", "            btn = gr.Button(\"Run\", scale=0)\n", "        gallery = gr.Gallery(\n", "            label=\"Generated images\",\n", "            show_label=False,\n", "            columns=1,\n", "            height=\"auto\",\n", "        )\n", "    btn.click(img, inputs=text, outputs=gallery)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch(css=\".container { max-width: 800px; margin: auto; }\")\n", "\n", "# margin = (TOP, RIGHT, BOTTOM, LEFT)\n", "# rounded = (TOPLEFT, TOPRIGHT, BOTTOMRIGHT, BOTTOMLEFT)\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -19,7 +19,7 @@ def img(text):
         cheetah,
     ]
 
-with gr.Blocks(css=".container { max-width: 800px; margin: auto; }") as demo:
+with gr.Blocks() as demo:
     gr.Markdown("<h1><center>DALL·E mini</center></h1>")
     gr.Markdown(
         "DALL·E mini is an AI model that generates images from any prompt you give!"
@@ -41,7 +41,7 @@ with gr.Blocks(css=".container { max-width: 800px; margin: auto; }") as demo:
     btn.click(img, inputs=text, outputs=gallery)
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(css=".container { max-width: 800px; margin: auto; }")
 
 # margin = (TOP, RIGHT, BOTTOM, LEFT)
 # rounded = (TOPLEFT, TOPRIGHT, BOTTOMRIGHT, BOTTOMLEFT)