{ "cells": [ { "cell_type": "markdown", "id": "22f3f9f9-80ee-4da1-ba12-105a0ce74203", "metadata": {}, "source": [ "## Run Template\n", "\n", "In `server.py`, set -\n", "```\n", "add_routes(app, chain, path=\"/sql_llama2\")\n", "```\n", "\n", "This template includes an example DB of 2023 NBA rosters.\n", "\n", "We can ask questions related to NBA players. " ] }, { "cell_type": "code", "execution_count": 15, "id": "4545c603-77ec-4c15-b9c0-a70529eebed0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "\" Sure thing! Here's the natural language response based on the given SQL query and response:\\n\\nKlay Thompson plays for the Golden State Warriors.\"" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from langserve.client import RemoteRunnable\n", "sql_app = RemoteRunnable('http://0.0.0.0:8001/sql_llama2')\n", "sql_app.invoke({\"question\": \"What team is Klay Thompson on?\"})" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.16" } }, "nbformat": 4, "nbformat_minor": 5 }