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README.md

@@ -1,12 +1,11 @@
+
 ---
-title: Gpt2 Xl Unified Main
-emoji: 📉
-colorFrom: green
-colorTo: gray
+title: gpt2_xl_unified_main 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
 sdk_version: 3.35.2
-app_file: app.py
+app_file: run.py
 pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1,2 @@
+
+https://gradio-main-build.s3.amazonaws.com/38b16beb16dd634a06519d31625201263b6fb9b1/gradio-3.35.2-py3-none-any.whl

run.ipynb

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+{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: gpt2_xl_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/gpt2-xl\")\n", "\n", "demo = gr.Interface(\n", "    fn=lambda x: x[:-50] + api(x[-50:]),\n", "    inputs=component,\n", "    outputs=component,\n", "    title=\"gpt2-xl\",\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

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+import gradio as gr
+
+component = gr.Textbox(lines=5, label="Text")
+api = gr.load("huggingface/gpt2-xl")
+
+demo = gr.Interface(
+    fn=lambda x: x[:-50] + api(x[-50:]),
+    inputs=component,
+    outputs=component,
+    title="gpt2-xl",
+)
+
+if __name__ == "__main__":
+    demo.launch()