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README.md

@@ -5,7 +5,7 @@ emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 3.35.2
+sdk_version: 3.36.0
 app_file: run.py
 pinned: false
 ---

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: blocks_gpt"]}, {"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", "api = gr.load(\"huggingface/EleutherAI/gpt-j-6B\")\n", "\n", "def complete_with_gpt(text):\n", "    # Use the last 50 characters of the text as context\n", "    return text[:-50] + api(text[-50:])\n", "\n", "with gr.Blocks() as demo:\n", "    textbox = gr.Textbox(placeholder=\"Type here and press enter...\", lines=4)\n", "    btn = gr.Button(\"Generate\")\n", "    \n", "    btn.click(complete_with_gpt, textbox, textbox)\n", "    \n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: blocks_gpt"]}, {"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", "api = gr.load(\"huggingface/gpt2-xl\")\n", "\n", "def complete_with_gpt(text):\n", "    # Use the last 50 characters of the text as context\n", "    return text[:-50] + api(text[-50:])\n", "\n", "with gr.Blocks() as demo:\n", "    textbox = gr.Textbox(placeholder=\"Type here and press enter...\", lines=4)\n", "    btn = gr.Button(\"Generate\")\n", "    \n", "    btn.click(complete_with_gpt, textbox, textbox)\n", "    \n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,6 +1,6 @@
 import gradio as gr
 
-api = gr.load("huggingface/EleutherAI/gpt-j-6B")
+api = gr.load("huggingface/gpt2-xl")
 
 def complete_with_gpt(text):
     # Use the last 50 characters of the text as context