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langchain/templates/sql-llama2/sql_llama2.ipynb

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{
"cells": [
{
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"## 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",
"\n",
"sql_app = RemoteRunnable(\"http://0.0.0.0:8001/sql_llama2\")\n",
"sql_app.invoke({\"question\": \"What team is Klay Thompson on?\"})"
]
}
],
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