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README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 3.23.0
+sdk_version: 3.24.0
 app_file: run.py
 pinned: false
 ---

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: gpt_j_unified"]}, {"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", "component = gr.Textbox(lines=5, label=\"Text\")\n", "api = gr.Interface.load(\"huggingface/EleutherAI/gpt-j-6B\")\n", "\n", "demo = gr.Interface(\n", "    fn=lambda x: x[:-50] + api(x[-50:]),\n", "    inputs=component,\n", "    outputs=component,\n", "    title=\"GPT-J-6B\",\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: gpt_j_unified"]}, {"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", "component = gr.Textbox(lines=5, label=\"Text\")\n", "api = gr.load(\"huggingface/EleutherAI/gpt-j-6B\")\n", "\n", "demo = gr.Interface(\n", "    fn=lambda x: x[:-50] + api(x[-50:]),\n", "    inputs=component,\n", "    outputs=component,\n", "    title=\"GPT-J-6B\",\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,7 +1,7 @@
 import gradio as gr
 
 component = gr.Textbox(lines=5, label="Text")
-api = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B")
+api = gr.load("huggingface/EleutherAI/gpt-j-6B")
 
 demo = gr.Interface(
     fn=lambda x: x[:-50] + api(x[-50:]),