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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 +1,2 @@
-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

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: chatinterface_system_prompt"]}, {"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 time\n", "\n", "def echo(message, history, system_prompt, tokens):\n", "    response = f\"System prompt: {system_prompt}\\n Message: {message}.\"\n", "    for i in range(min(len(response), int(tokens))):\n", "        time.sleep(0.05)\n", "        yield response[: i + 1]\n", "\n", "demo = gr.ChatInterface(\n", "    echo,\n", "    additional_inputs=[\n", "        gr.Textbox(\"You are helpful AI.\", label=\"System Prompt\"),\n", "        gr.Slider(10, 100),\n", "    ],\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_system_prompt"]}, {"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 time\n", "\n", "def echo(message, history, system_prompt, tokens):\n", "    response = f\"System prompt: {system_prompt}\\n Message: {message}.\"\n", "    for i in range(min(len(response), int(tokens))):\n", "        time.sleep(0.05)\n", "        yield response[: i + 1]\n", "\n", "demo = gr.ChatInterface(\n", "    echo,\n", "    type=\"messages\",\n", "    additional_inputs=[\n", "        gr.Textbox(\"You are helpful AI.\", label=\"System Prompt\"),\n", "        gr.Slider(10, 100),\n", "    ],\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -9,6 +9,7 @@ def echo(message, history, system_prompt, tokens):
 
 demo = gr.ChatInterface(
     echo,
+    type="messages",
     additional_inputs=[
         gr.Textbox("You are helpful AI.", label="System Prompt"),
         gr.Slider(10, 100),