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requirements.txt

@@ -1,2 +1,2 @@
 
-https://gradio-main-build.s3.amazonaws.com/f2fb69ec29b9e7505b05e342443228507f8a7922/gradio-3.23.0-py3-none-any.whl
+https://gradio-main-build.s3.amazonaws.com/6e6121a1ac704c74a4c5d6a543b227c0c1ec60d0/gradio-3.23.0-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: interface_parallel_load"]}, {"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", "generator1 = gr.Interface.load(\"huggingface/gpt2\")\n", "generator2 = gr.Interface.load(\"huggingface/EleutherAI/gpt-neo-2.7B\")\n", "generator3 = gr.Interface.load(\"huggingface/EleutherAI/gpt-j-6B\")\n", "\n", "demo = gr.Parallel(generator1, generator2, generator3)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: interface_parallel_load"]}, {"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", "generator1 = gr.load(\"huggingface/gpt2\")\n", "generator2 = gr.load(\"huggingface/EleutherAI/gpt-neo-2.7B\")\n", "generator3 = gr.load(\"huggingface/EleutherAI/gpt-j-6B\")\n", "\n", "demo = gr.Parallel(generator1, generator2, generator3)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,8 +1,8 @@
 import gradio as gr
 
-generator1 = gr.Interface.load("huggingface/gpt2")
-generator2 = gr.Interface.load("huggingface/EleutherAI/gpt-neo-2.7B")
-generator3 = gr.Interface.load("huggingface/EleutherAI/gpt-j-6B")
+generator1 = gr.load("huggingface/gpt2")
+generator2 = gr.load("huggingface/EleutherAI/gpt-neo-2.7B")
+generator3 = gr.load("huggingface/EleutherAI/gpt-j-6B")
 
 demo = gr.Parallel(generator1, generator2, generator3)