{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use a pipeline as a high-level helper\n",
    "from transformers import pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "prompt = [\n",
    "    {\"role\": \"user\", \"content\": \"\"\" \"SELECT CITYalias0.CITY_NAME FROM CITY AS CITYalias0 WHERE CITYalias0.POPULATION = ( SELECT MAX( CITYalias1.POPULATION ) FROM CITY AS CITYalias1 WHERE CITYalias1.STATE_NAME = \\\"state_name0\\\" ) AND CITYalias0.STATE_NAME = \\\"state_name0\\\" ;\"\"\"},\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\eclal\\OneDrive\\Desktop\\VSCode\\.conda\\Lib\\site-packages\\transformers\\models\\mistral\\modeling_mistral.py:674: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at ..\\aten\\src\\ATen\\native\\transformers\\cuda\\sdp_utils.cpp:455.)\n",
      "  attn_output = torch.nn.functional.scaled_dot_product_attention(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[{'generated_text': [{'role': 'user',\n",
       "    'content': ' \"SELECT CITYalias0.CITY_NAME FROM CITY AS CITYalias0 WHERE CITYalias0.POPULATION = ( SELECT MAX( CITYalias1.POPULATION ) FROM CITY AS CITYalias1 WHERE CITYalias1.STATE_NAME = \"state_name0\" ) AND CITYalias0.STATE_NAME = \"state_name0\" ;'},\n",
       "   {'role': 'assistant',\n",
       "    'content': 'return me the city with the highest population in \" state_name0 \".\"'}]}]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "generate_text = pipeline(\n",
    "    model=\"eclfe/sqlen-1-21\",\n",
    "    torch_dtype=\"auto\",\n",
    "    trust_remote_code=True,\n",
    "    device_map={\"\": \"cuda:0\"},\n",
    "    token=True,\n",
    ")\n",
    "generate_text(prompt, renormalize_logits=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'generated_text': [{'role': 'user',\n",
       "    'content': ' \"SELECT CITYalias0.CITY_NAME FROM CITY AS CITYalias0 WHERE CITYalias0.POPULATION = ( SELECT MAX( CITYalias1.POPULATION ) FROM CITY AS CITYalias1 WHERE CITYalias1.STATE_NAME = \"state_name0\" ) AND CITYalias0.STATE_NAME = \"state_name0\" ;'},\n",
       "   {'role': 'assistant',\n",
       "    'content': 'return me the city with the highest population in \" state_name0 \".\"'}]}]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "prompt = [\n",
    "    {\"role\": \"user\", \"content\": \"\"\" \"SELECT CITYalias0.CITY_NAME FROM CITY AS CITYalias0 WHERE CITYalias0.POPULATION = ( SELECT MAX( CITYalias1.POPULATION ) FROM CITY AS CITYalias1 WHERE CITYalias1.STATE_NAME = \\\"state_name0\\\" ) AND CITYalias0.STATE_NAME = \\\"state_name0\\\" ;\"\"\"},\n",
    "]\n",
    "pipe = pipeline(\"text-generation\", model=\"eclfe/sqlen-1-21\")\n",
    "pipe(prompt)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}