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pdp19
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ipl_match_winner_predictor

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ipl_match_winner_predictor
File size: 4,087 Bytes
70676af
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9699ec04-d6f5-4bba-ac94-f33081929626",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "afa7acd8-8d00-4c86-b98c-4a540313149d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from transformers import AutoTokenizer, AutoModelForSequenceClassification\n",
    "import torch\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3d1d289d-9156-4f08-8f8f-37c101caf476",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_name = \"pdp19/ipl_match_winner_predictor\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "099f8842-46ad-440d-bdfe-efa5d79dbef3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "device(type='cpu')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "device"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ce56f89d-4a4e-4ebf-be68-67fedc0de210",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Do not change these labels\n",
    "index_to_label = {0: 'Sunrisers Hyderabad (SRH)',\n",
    " 1: 'Chennai Super Kings (CSK)',\n",
    " 2: 'Delhi Capitals (DC)',\n",
    " 3: 'Mumbai Indians (MI)',\n",
    " 4: 'Kings XI Punjab (KXIP)',\n",
    " 5: 'Royal Challengers Bangalore (RCB)',\n",
    " 6: 'Gujarat Titans (GT)',\n",
    " 7: 'Kolkata Knight Riders (KKR)',\n",
    " 8: 'Rajasthan Royals (RR)',\n",
    " 9: 'Lucknow Super Giants (LSG)'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8ef7a4c6-2463-4397-8a63-dd28a1db1eb8",
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenizer = AutoTokenizer.from_pretrained(model_name)\n",
    "model = AutoModelForSequenceClassification.from_pretrained(model_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "93ecd2be-220d-4a7d-b15f-d6c80209a46c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_winner(input_query):\n",
    "    \n",
    "    inputs = tokenizer(input_query,padding = True, truncation = True, return_tensors='pt').to(device)\n",
    "    outputs = model(**inputs)\n",
    "    predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)\n",
    "    predictions = predictions.cpu().detach().numpy()\n",
    "\n",
    "    predicted_index = np.argmax(predictions)\n",
    "    predicted_label = index_to_label[predicted_index]\n",
    "\n",
    "    return \"Winner of the match for your input query is: \" + predicted_label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b4d1b206-c59b-44ed-9dd9-be44c52dd5d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "question = \"who is going to win if match is played beteen KKR and DC\"\n",
    "results = get_winner(question)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "391cb5f2-25a9-4db4-be02-05ef1093f633",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Winner of the match for your input query is: Delhi Capitals (DC)'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22c76ea9-fd28-4b05-b32c-d2769f745b64",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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