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requirements.txt

@@ -1,2 +1,2 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@83e14bcfa653e2ec477f0d09b497adf605734e46#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/83e14bcfa653e2ec477f0d09b497adf605734e46/gradio-5.38.2-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@69ecab35782a6704be6c1164eed41e8ade04e503#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/69ecab35782a6704be6c1164eed41e8ade04e503/gradio-5.38.2-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: chatinterface_deep_link"]}, {"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 time\n", "import gradio as gr\n", "\n", "def slow_echo(message, history):\n", "    for i in range(len(message[\"text\"])):\n", "        time.sleep(0.05)\n", "        yield \"You typed: \" + message[\"text\"][: i + 1]\n", "\n", "chat = gr.ChatInterface(\n", "    slow_echo,\n", "    type=\"messages\",\n", "    flagging_mode=\"manual\",\n", "    flagging_options=[\"Like\", \"Spam\", \"Inappropriate\", \"Other\"],\n", "    save_history=False,\n", "    multimodal=True,\n", ")\n", "\n", "with gr.Blocks() as demo:\n", "    chat.render()\n", "    gr.DeepLinkButton()\n", "\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: chatinterface_deep_link"]}, {"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 time\n", "import gradio as gr\n", "\n", "def slow_echo(message, history):\n", "    for i in range(len(message[\"text\"])):\n", "        time.sleep(0.05)\n", "        yield \"You typed: \" + message[\"text\"][: i + 1]\n", "\n", "chat = gr.ChatInterface(\n", "    slow_echo,\n", "    type=\"messages\",\n", "    flagging_mode=\"manual\",\n", "    flagging_options=[\"Like\", \"Spam\", \"Inappropriate\", \"Other\"],\n", "    save_history=False,\n", "    multimodal=True,\n", ")\n", "\n", "with gr.Blocks() as demo:\n", "\n", "        chat.render()\n", "        gr.DeepLinkButton()\n", "\n", "with demo.route(\"cached_examples\"):\n", "        gr.Interface(lambda x, y: f\"{y}: {x}\",\n", "                     inputs=[gr.Textbox(label=\"name\"),\n", "                             gr.Radio(label=\"Salutation\", choices=[\"Hello\", \"Greetings\"])\n", "                     ],\n", "                     outputs=gr.Textbox(label=\"Output\"),\n", "                     examples=[[\"Freddy\", \"Hello\"]],\n", "                     cache_examples=True,\n", "                     deep_link=True)\n", "\n", "\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -16,8 +16,20 @@ chat = gr.ChatInterface(
 )
 
 with gr.Blocks() as demo:
-    chat.render()
-    gr.DeepLinkButton()
+
+        chat.render()
+        gr.DeepLinkButton()
+
+with demo.route("cached_examples"):
+        gr.Interface(lambda x, y: f"{y}: {x}",
+                     inputs=[gr.Textbox(label="name"),
+                             gr.Radio(label="Salutation", choices=["Hello", "Greetings"])
+                     ],
+                     outputs=gr.Textbox(label="Output"),
+                     examples=[["Freddy", "Hello"]],
+                     cache_examples=True,
+                     deep_link=True)
+
 
 
 if __name__ == "__main__":