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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: chatinterface_options"]}, {"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", "\n", "example_code = \"\"\"\n", "Here's an example Python lambda function:\n", "\n", "lambda x: x + {}\n", "\n", "Is this correct?\n", "\"\"\"\n", "\n", "def chat(message, history):\n", "    if message == \"Yes, that's correct.\":\n", "        return \"Great!\"\n", "    else:\n", "        return gr.ChatMessage(\n", "            content=example_code.format(random.randint(1, 100)),\n", "            options=[\n", "                {\"value\": \"Yes, that's correct.\", \"label\": \"Yes\"},\n", "                {\"value\": \"No\"}\n", "            ]\n", "        )\n", "\n", "demo = gr.ChatInterface(\n", "    chat,\n", "    type=\"messages\",\n", "    examples=[\"Write an example Python lambda function.\"]\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_options"]}, {"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", "\n", "example_code = \"\"\"\n", "Here's an example Python lambda function:\n", "\n", "lambda x: x + {}\n", "\n", "Is this correct?\n", "\"\"\"\n", "\n", "def chat(message, history):\n", "    if message == \"Yes, that's correct.\":\n", "        return \"Great!\"\n", "    else:\n", "        return gr.ChatMessage(\n", "            content=example_code.format(random.randint(1, 100)),\n", "            options=[\n", "                {\"value\": \"Yes, that's correct.\", \"label\": \"Yes\"},\n", "                {\"value\": \"No\"}\n", "            ]\n", "        )\n", "\n", "demo = gr.ChatInterface(\n", "    chat,\n", "    examples=[\"Write an example Python lambda function.\"],\n", "    api_name=\"chat\",\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -23,8 +23,8 @@ def chat(message, history):
 
 demo = gr.ChatInterface(
     chat,
-    type="messages",
-    examples=["Write an example Python lambda function."]
+    examples=["Write an example Python lambda function."],
+    api_name="chat",
 )
 
 if __name__ == "__main__":