{ "cells": [ { "cell_type": "code", "execution_count": 2, "id": "24365133-3f41-463f-b4eb-56b3e21aa4dd", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Collecting openvino-dev[tensorflow2]\n", " Downloading openvino_dev-2024.2.0-15519-py3-none-any.whl.metadata (16 kB)\n", "Requirement already satisfied: defusedxml>=0.7.1 in c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from openvino-dev[tensorflow2]) (0.7.1)\n", "Collecting networkx<=3.1.0 (from openvino-dev[tensorflow2])\n", " Downloading networkx-3.1-py3-none-any.whl.metadata (5.3 kB)\n", "Requirement already satisfied: numpy<2.0.0,>=1.16.6 in c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from openvino-dev[tensorflow2]) (1.26.4)\n", "Requirement already satisfied: openvino-telemetry>=2023.2.1 in c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from openvino-dev[tensorflow2]) (2024.1.0)\n", 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protobuf, oauthlib, numpy, networkx, markdown, keras, grpcio, google-pasta, gast, cachetools, absl-py, rsa, requests-oauthlib, pyasn1-modules, opt-einsum, openvino, ml-dtypes, h5py, astunparse, openvino-dev, google-auth, google-auth-oauthlib, tensorboard, tensorflow-intel, tensorflow\n", " Attempting uninstall: fastjsonschema\n", " Found existing installation: fastjsonschema 2.19.1\n", " Uninstalling fastjsonschema-2.19.1:\n", " Successfully uninstalled fastjsonschema-2.19.1\n", " Attempting uninstall: wrapt\n", " Found existing installation: wrapt 1.16.0\n", " Uninstalling wrapt-1.16.0:\n", " Successfully uninstalled wrapt-1.16.0\n", " Attempting uninstall: protobuf\n", " Found existing installation: protobuf 5.27.1\n", " Uninstalling protobuf-5.27.1:\n", " Successfully uninstalled protobuf-5.27.1\n", " Attempting uninstall: numpy\n", " Found existing installation: numpy 1.26.4\n", " Uninstalling numpy-1.26.4:\n", " Successfully uninstalled numpy-1.26.4\n", " Attempting uninstall: networkx\n", " Found existing installation: networkx 3.3\n", " Uninstalling networkx-3.3:\n", " Successfully uninstalled networkx-3.3\n", "Successfully installed absl-py-2.1.0 astunparse-1.6.3 cachetools-5.3.3 fastjsonschema-2.17.1 flatbuffers-24.3.25 gast-0.5.4 google-auth-2.30.0 google-auth-oauthlib-1.0.0 google-pasta-0.2.0 grpcio-1.64.1 h5py-3.10.0 keras-2.14.0 libclang-18.1.1 markdown-3.6 ml-dtypes-0.2.0 networkx-3.1 numpy-1.25.2 oauthlib-3.2.2 openvino-2024.2.0 openvino-dev-2024.2.0 opt-einsum-3.3.0 protobuf-4.25.3 pyasn1-0.6.0 pyasn1-modules-0.4.0 requests-oauthlib-2.0.0 rsa-4.9 tensorboard-2.14.1 tensorboard-data-server-0.7.2 tensorflow-2.14.1 tensorflow-estimator-2.14.0 tensorflow-intel-2.14.1 tensorflow-io-gcs-filesystem-0.31.0 termcolor-2.4.0 werkzeug-3.0.3 wheel-0.43.0 wrapt-1.14.1\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING: Ignoring invalid distribution -ptimum (c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages)\n", "WARNING: Ignoring invalid distribution -ptimum (c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages)\n", "ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "openvino-tokenizers 2024.3.0.0.dev20240619 requires openvino~=2024.3.0.0.dev, but you have openvino 2024.2.0 which is incompatible.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: tensorflow in c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (2.14.1)\n", "Requirement already satisfied: scikit-learn in c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (1.5.0)\n", "Requirement already satisfied: numpy in c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (1.25.2)\n", "Requirement already satisfied: tensorflow-intel==2.14.1 in c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from tensorflow) (2.14.1)\n", "Requirement already satisfied: absl-py>=1.0.0 in c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from 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requests<3,>=2.21.0->tensorboard<2.15,>=2.14->tensorflow-intel==2.14.1->tensorflow) (2024.2.2)\n", "Requirement already satisfied: MarkupSafe>=2.1.1 in c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from werkzeug>=1.0.1->tensorboard<2.15,>=2.14->tensorflow-intel==2.14.1->tensorflow) (2.1.5)\n", "Requirement already satisfied: pyasn1<0.7.0,>=0.4.6 in c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.15,>=2.14->tensorflow-intel==2.14.1->tensorflow) (0.6.0)\n", "Requirement already satisfied: oauthlib>=3.0.0 in c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard<2.15,>=2.14->tensorflow-intel==2.14.1->tensorflow) (3.2.2)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "WARNING: Ignoring invalid distribution -ptimum (c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages)\n", "WARNING: Ignoring invalid distribution -ptimum (c:\\users\\kiit\\appdata\\local\\programs\\python\\python310\\lib\\site-packages)\n" ] } ], "source": [ "!pip install openvino-dev[tensorflow2] \n", "!pip install tensorflow scikit-learn numpy \n" ] }, { "cell_type": "code", "execution_count": null, "id": "dbae5e9b-3e44-4507-9676-ad1767ee5f2d", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.preprocessing import LabelEncoder\n", "import tensorflow as tf\n", "from tensorflow.keras.preprocessing.text import Tokenizer\n", "from tensorflow.keras.preprocessing.sequence import pad_sequences\n", "\n", "# Load your dataset\n", "data = pd.read_csv('path/to/emotion_dataset.csv') # Replace with actual dataset path\n", "\n", "# Preprocess the text and labels\n", "X = data['text'].values\n", "y = data['emotion'].values\n", "\n", "# Encode labels\n", "label_encoder = LabelEncoder()\n", "y_encoded = label_encoder.fit_transform(y)\n", "\n", "# Tokenize and pad text sequences\n", "tokenizer = Tokenizer(num_words=5000)\n", "tokenizer.fit_on_texts(X)\n", "X_tokenized = tokenizer.texts_to_sequences(X)\n", "X_padded = pad_sequences(X_tokenized, maxlen=128)\n", "\n", "# Split data into training and testing sets\n", "X_train, X_test, y_train, y_test = train_test_split(X_padded, y_encoded, test_size=0.2, random_state=42)\n" ] } ], "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": "3.10.9" } }, "nbformat": 4, "nbformat_minor": 5 }