{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.preprocessing.text import Tokenizer\n",
    "from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
    "from tensorflow import keras\n",
    "from pathlib import Path as pp\n",
    "\n",
    "import os\n",
    "notebook_path = os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "File not found: filepath=../imsoumyaneel-sentiment_analysis_llama2.keras. Please ensure the file is an accessible `.keras` zip file.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[19], line 15\u001b[0m\n\u001b[1;32m     12\u001b[0m   \u001b[38;5;28;01mreturn\u001b[39;00m padded_text\n\u001b[1;32m     14\u001b[0m \u001b[38;5;66;03m# load model\u001b[39;00m\n\u001b[0;32m---> 15\u001b[0m model \u001b[38;5;241m=\u001b[39m \u001b[43mkeras\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmodels\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload_model\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m../imsoumyaneel-sentiment_analysis_llama2.keras\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m  \u001b[38;5;66;03m# Replace \"your_model.h5\" with the path to your trained model\u001b[39;00m\n\u001b[1;32m     17\u001b[0m \u001b[38;5;66;03m# Preprocess the custom input text\u001b[39;00m\n\u001b[1;32m     18\u001b[0m preprocessed_text \u001b[38;5;241m=\u001b[39m preprocess_text(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mi love this thing!\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "File \u001b[0;32m~/Documents/models/twitter_model/.venv/lib/python3.10/site-packages/keras/src/saving/saving_api.py:185\u001b[0m, in \u001b[0;36mload_model\u001b[0;34m(filepath, custom_objects, compile, safe_mode)\u001b[0m\n\u001b[1;32m    183\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m legacy_h5_format\u001b[38;5;241m.\u001b[39mload_model_from_hdf5(filepath)\n\u001b[1;32m    184\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mstr\u001b[39m(filepath)\u001b[38;5;241m.\u001b[39mendswith(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m.keras\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m--> 185\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    186\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFile not found: filepath=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfilepath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    187\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPlease ensure the file is an accessible `.keras` \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    188\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mzip file.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    189\u001b[0m     )\n\u001b[1;32m    190\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    191\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    192\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFile format not supported: filepath=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfilepath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    193\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mKeras 3 only supports V3 `.keras` files and \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    202\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmight have a different name).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    203\u001b[0m     )\n",
      "\u001b[0;31mValueError\u001b[0m: File not found: filepath=../imsoumyaneel-sentiment_analysis_llama2.keras. Please ensure the file is an accessible `.keras` zip file."
     ]
    }
   ],
   "source": [
    "tokenizer = Tokenizer()\n",
    "max_length = 200\n",
    "models_dir = pp(pp(notebook_path).parent, 'models')\n",
    "\n",
    "\n",
    "# use model\n",
    "def preprocess_text(text):\n",
    "  # Tokenize the text\n",
    "  tokenized_text = tokenizer.texts_to_sequences([text])\n",
    "  # Pad sequences to the same length as training data\n",
    "  padded_text = pad_sequences(tokenized_text, maxlen=max_length, padding='post')\n",
    "  return padded_text\n",
    "\n",
    "# load model\n",
    "model = keras.models.load_model('../imsoumyaneel-sentiment_analysis_llama2.keras')  # Replace \"your_model.h5\" with the path to your trained model\n",
    "\n",
    "# Preprocess the custom input text\n",
    "preprocessed_text = preprocess_text(\"i love this thing!\")\n",
    "\n",
    "# Make predictions\n",
    "predictions = model.predict(preprocessed_text)\n",
    "\n",
    "predictions[0][0]"
   ]
  }
 ],
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