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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: multipage"]}, {"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 random\n", "import time\n", "\n", "with gr.Blocks() as demo:\n", "    name = gr.Textbox(label=\"Name\")\n", "    output = gr.Textbox(label=\"Output Box\")\n", "    greet_btn = gr.Button(\"Greet\")\n", "    @gr.on([greet_btn.click, name.submit], inputs=name, outputs=output)\n", "    def greet(name):\n", "        return \"Hello \" + name + \"!\"\n", "    \n", "    @gr.render(inputs=name, triggers=[output.change])\n", "    def spell_out(name):\n", "        with gr.Row():\n", "            for letter in name:\n", "                gr.Textbox(letter)\n", "\n", "with demo.route(\"Up\") as incrementer_demo:\n", "    num = gr.Number()\n", "    incrementer_demo.load(lambda: time.sleep(1) or random.randint(10, 40), None, num)\n", "\n", "    with gr.Row():\n", "        inc_btn = gr.Button(\"Increase\")\n", "        dec_btn = gr.Button(\"Decrease\")\n", "    inc_btn.click(fn=lambda x: x + 1, inputs=num, outputs=num, api_name=\"increment\")\n", "    dec_btn.click(fn=lambda x: x - 1, inputs=num, outputs=num, api_name=\"decrement\")\n", "    for i in range(100):\n", "        gr.Textbox()\n", "\n", "def wait(x):\n", "    time.sleep(2)\n", "    return x\n", "\n", "identity_iface = gr.Interface(wait, \"image\", \"image\")\n", "\n", "with demo.route(\"Interface\") as incrementer_demo:\n", "    identity_iface.render()\n", "    gr.Interface(lambda x, y: x * y, [\"number\", \"number\"], \"number\")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: multipage"]}, {"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 random\n", "import time\n", "\n", "with gr.Blocks() as demo:\n", "    name = gr.Textbox(label=\"Name\")\n", "    output = gr.Textbox(label=\"Output Box\")\n", "    greet_btn = gr.Button(\"Greet\")\n", "    @gr.on([greet_btn.click, name.submit], inputs=name, outputs=output)\n", "    def greet(name):\n", "        return \"Hello \" + name + \"!\"\n", "    \n", "    @gr.render(inputs=name, triggers=[output.change])\n", "    def spell_out(name):\n", "        with gr.Row():\n", "            for letter in name:\n", "                gr.Textbox(letter)\n", "\n", "with demo.route(\"Up\") as incrementer_demo:\n", "    num = gr.Number()\n", "    incrementer_demo.load(lambda: time.sleep(1) or random.randint(10, 40), None, num)\n", "\n", "    with gr.Row():\n", "        inc_btn = gr.Button(\"Increase\")\n", "        dec_btn = gr.Button(\"Decrease\")\n", "    inc_btn.click(fn=lambda x: x + 1, inputs=num, outputs=num, api_name=\"increment\")\n", "    dec_btn.click(fn=lambda x: x - 1, inputs=num, outputs=num, api_name=\"decrement\")\n", "    for i in range(100):\n", "        gr.Textbox()\n", "\n", "def wait(x):\n", "    time.sleep(2)\n", "    return x\n", "\n", "identity_iface = gr.Interface(wait, \"image\", \"image\", api_name=\"predict\")\n", "\n", "with demo.route(\"Interface\") as incrementer_demo:\n", "    identity_iface.render()\n", "    gr.Interface(lambda x, y: x * y, [\"number\", \"number\"], \"number\", api_name=\"predict\")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -32,11 +32,11 @@ def wait(x):
     time.sleep(2)
     return x
 
-identity_iface = gr.Interface(wait, "image", "image")
+identity_iface = gr.Interface(wait, "image", "image", api_name="predict")
 
 with demo.route("Interface") as incrementer_demo:
     identity_iface.render()
-    gr.Interface(lambda x, y: x * y, ["number", "number"], "number")
+    gr.Interface(lambda x, y: x * y, ["number", "number"], "number", api_name="predict")
 
 if __name__ == "__main__":
     demo.launch()