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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: interface_state"]}, {"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", "\n", "def store_message(message: str, history: list[str]):  # type: ignore\n", "    output = {\n", "        \"Current messages\": message,\n", "        \"Previous messages\": history[::-1]\n", "    }\n", "    history.append(message)\n", "    return output, history\n", "\n", "demo = gr.Interface(fn=store_message,\n", "                    inputs=[\"textbox\", gr.State(value=[])],\n", "                    outputs=[\"json\", gr.State()])\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: interface_state"]}, {"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", "\n", "def store_message(message: str, history: list[str]):  # type: ignore\n", "    output = {\n", "        \"Current messages\": message,\n", "        \"Previous messages\": history[::-1]\n", "    }\n", "    history.append(message)\n", "    return output, history\n", "\n", "demo = gr.Interface(fn=store_message,\n", "                    inputs=[\"textbox\", gr.State(value=[])],\n", "                    outputs=[\"json\", gr.State()],\n", "                    api_name=\"predict\"\n", "                    )\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -10,7 +10,9 @@ def store_message(message: str, history: list[str]):  # type: ignore
 
 demo = gr.Interface(fn=store_message,
                     inputs=["textbox", gr.State(value=[])],
-                    outputs=["json", gr.State()])
+                    outputs=["json", gr.State()],
+                    api_name="predict"
+                    )
 
 if __name__ == "__main__":
     demo.launch()