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"DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } } } } }, "cells": [ { "cell_type": "markdown", "source": [ "# Automated Tech-Support Ticketing System\n", "\n", "An end-to-end automated customer support ticketing management system powered by Deep Learning and Large Language Models (LLMs). This project aims to automate incoming ticket classification and generate initial response drafts to enhance customer service efficiency." ], "metadata": { "id": "63VMPpq0mzIu" } }, { "cell_type": "markdown", "source": [ "## Load Library" ], "metadata": { "id": "SIU1undvnlmt" } }, { "cell_type": "code", "execution_count": 41, "metadata": { "id": "2nNGLl6kRq2l" }, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "from collections import Counter, defaultdict\n", "import re\n", "from sklearn.feature_extraction.text import CountVectorizer\n", "from wordcloud import WordCloud\n", "import torch\n", "from torch.utils.data import Dataset, DataLoader\n", "from transformers import AutoTokenizer, DistilBertForSequenceClassification, get_linear_schedule_with_warmup\n", "from torch.optim import AdamW\n", "from sklearn.preprocessing import LabelEncoder\n", "import json\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.metrics import classification_report\n", "from tqdm.auto import tqdm\n", "\n", "#!pip install -q -U google-generativeai\n", "\n", "import google.generativeai as genai\n", "from google.colab import userdata, files\n", "import torch.nn.functional as F\n", "import os\n", "import joblib" ] }, { "cell_type": "markdown", "source": [ "## Load Datasets" ], "metadata": { "id": "iWhjyW1lnoX9" } }, { "cell_type": "code", "source": [ "df = pd.read_csv('https://raw.githubusercontent.com/Genome06/automated-tech-support-ticketing/refs/heads/main/data/Bitext_Sample_Customer_Support_Training_Dataset_27K_responses-v11.csv', index_col=False)\n", "df.sample(5)" ], "metadata": { "id": "hqPwoQetmUk2", "colab": { "base_uri": "https://localhost:8080/", "height": 241 }, "outputId": "30f7b9eb-ce65-4f47-f064-aef0f055fe0f" }, "execution_count": 3, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " flags instruction category \\\n", "11355 BLM problems with pro account terminations ACCOUNT \n", "26438 BLZ I am waiting for a reimbursement of {{Refund A... 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" ] }, "metadata": {}, "execution_count": 5 } ] }, { "cell_type": "markdown", "source": [ "### Check Duplicated Values" ], "metadata": { "id": "BMUscwrMn828" } }, { "cell_type": "code", "source": [ "# Check duplicated values\n", "df.duplicated().any()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "JUp8iKtrn0wR", "outputId": "99e31e81-feda-4a8f-9fb6-6aedf0397007" }, "execution_count": 6, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "np.False_" ] }, "metadata": {}, "execution_count": 6 } ] }, { "cell_type": "code", "source": [ "# Check duplicated values\n", "df.duplicated().sum()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "7mGdcP-soE5O", "outputId": "43133258-bd9b-400e-8a2e-6a931675435f" }, "execution_count": 7, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "np.int64(0)" ] }, "metadata": {}, "execution_count": 7 } ] }, { "cell_type": "markdown", "source": [ "### Descriptive Statistics" ], "metadata": { "id": "1Y1sYzsKp50s" } }, { "cell_type": "code", "source": [ "df.describe()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 175 }, "id": "CV9LZ4M_qFXU", "outputId": "d7924d00-f8d9-46d5-a8be-7dbf8340c745" }, "execution_count": 8, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " flags instruction category \\\n", "count 26872 26872 26872 \n", "unique 394 24635 11 \n", "top BL shipments to {{Delivery City}} ACCOUNT \n", "freq 5212 8 5986 \n", "\n", " intent \\\n", "count 26872 \n", "unique 27 \n", "top contact_customer_service \n", "freq 1000 \n", "\n", " response \n", "count 26872 \n", "unique 26870 \n", "top Firstly, I truly understand how pivotal the {{... \n", "freq 2 " ], "text/html": [ "\n", "
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" ] }, "metadata": {}, "execution_count": 9 } ] }, { "cell_type": "code", "source": [ "# Count Amount of Data Per intent In Intent Feature\n", "df['intent'].value_counts()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 962 }, "id": "kcKO1AN9Sqx6", "outputId": "619896c4-a162-4420-e5a5-c85c581fcd2e" }, "execution_count": 10, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "intent\n", "contact_customer_service 1000\n", "complaint 1000\n", "check_invoice 1000\n", "switch_account 1000\n", "edit_account 1000\n", "contact_human_agent 999\n", "check_payment_methods 999\n", "delivery_period 999\n", "newsletter_subscription 999\n", "get_invoice 999\n", "payment_issue 999\n", "registration_problems 999\n", "cancel_order 998\n", "place_order 998\n", "track_refund 998\n", "change_order 997\n", "set_up_shipping_address 997\n", "check_refund_policy 997\n", "create_account 997\n", "get_refund 997\n", "review 997\n", "delivery_options 995\n", "delete_account 995\n", "recover_password 995\n", "track_order 995\n", "change_shipping_address 973\n", "check_cancellation_fee 950\n", "Name: count, dtype: int64" ], "text/html": [ "
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" ] }, "metadata": {}, "execution_count": 10 } ] }, { "cell_type": "markdown", "source": [ "The dataset contains 26,872 samples distributed across 11 broad categories and 27 specific intents. Upon initial inspection, we decided to pivot our target labels from 'Category' to 'Intent'. Focusing on Intent classification provides a more granular understanding of customer needs—for instance, distinguishing 'cancel_order' from 'change_order' within the 'ORDER' category—which is essential for building a precise automated support system." ], "metadata": { "id": "BULHTHtaeWLr" } }, { "cell_type": "code", "source": [ "# Analysis The Lenght of instruction/ticket teks\n", "\n", "# Word count analysis\n", "df['word_count'] = df['instruction'].apply(lambda x: len(str(x).split()))\n", "\n", "# Character count analysis\n", "df['char_count'] = df['instruction'].apply(lambda x: len(str(x)))\n", "\n", "# Descriptive statistics\n", "stats = df[['word_count', 'char_count']].describe(percentiles=[0.25, 0.5, 0.75, 0.9, 0.95, 0.99])\n", "print(\"Descriptive Statistics for Text Lengths:\")\n", "print(stats)\n", "\n", "# Plotting word count distribution\n", "plt.hist(df['word_count'], bins=20, color='teal', edgecolor='black', alpha=0.7)\n", "plt.title('Distribution of Word Counts in Instructions')\n", "plt.xlabel('Number of Words')\n", "plt.ylabel('Frequency')\n", "plt.axvline(df['word_count'].quantile(0.95), color='red', linestyle='dashed', linewidth=1, label='95th Percentile')\n", "plt.legend()\n", "\n", "# Vocabulary Analysis (Unique words)\n", "all_words = ' '.join(df['instruction']).lower().split()\n", "unique_words = set(all_words)\n", "print(f\"\\nTotal words: {len(all_words)}\")\n", "print(f\"Unique words (Vocabulary size): {len(unique_words)}\")\n", "\n", "word_freq = Counter(all_words)\n", "print(\"\\nTop 10 most common words:\")\n", "print(word_freq.most_common(10))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 822 }, "id": "v3gnIu_aLTpq", "outputId": "eb26228d-a791-4221-d87b-293849e4db14" }, "execution_count": 11, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Descriptive Statistics for Text Lengths:\n", " word_count char_count\n", "count 26872.000000 26872.000000\n", "mean 8.690979 46.889513\n", "std 2.605004 10.897578\n", "min 1.000000 6.000000\n", "25% 7.000000 40.000000\n", "50% 9.000000 48.000000\n", "75% 11.000000 55.000000\n", "90% 12.000000 59.000000\n", "95% 13.000000 61.000000\n", "99% 14.000000 71.000000\n", "max 16.000000 92.000000\n", "\n", "Total words: 233544\n", "Unique words (Vocabulary size): 3191\n", "\n", "Top 10 most common words:\n", "[('i', 18874), ('to', 16400), ('the', 6413), ('help', 6253), ('a', 6086), ('do', 5344), ('can', 5274), ('my', 4774), ('how', 4207), ('need', 4059)]\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "# Analysis The Lenght of Response teks\n", "\n", "# Word count analysis\n", "df['word_count_response'] = df['response'].apply(lambda x: len(str(x).split()))\n", "\n", "# Character count analysis\n", "df['char_count_response'] = df['response'].apply(lambda x: len(str(x)))\n", "\n", "# Descriptive statistics\n", "stats = df[['word_count_response', 'char_count_response']].describe(percentiles=[0.25, 0.5, 0.75, 0.9, 0.95, 0.99])\n", "print(\"Descriptive Statistics for Text Lengths:\")\n", "print(stats)\n", "\n", "# Plotting word count distribution\n", "plt.hist(df['word_count_response'], bins=20, color='teal', edgecolor='black', alpha=0.7)\n", "plt.title('Distribution of Word Counts in Response')\n", "plt.xlabel('Number of Words')\n", "plt.ylabel('Frequency')\n", "plt.axvline(df['word_count_response'].quantile(0.95), color='red', linestyle='dashed', linewidth=1, label='95th Percentile')\n", "plt.legend()\n", "\n", "# Vocabulary Analysis (Unique words)\n", "all_words = ' '.join(df['response']).lower().split()\n", "unique_words = set(all_words)\n", "print(f\"\\nTotal words: {len(all_words)}\")\n", "print(f\"Unique words (Vocabulary size): {len(unique_words)}\")\n", "\n", "word_freq = Counter(all_words)\n", "print(\"\\nTop 10 most common words:\")\n", "print(word_freq.most_common(10))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 822 }, "id": "6xxgVaLnM_lh", "outputId": "129462d6-f331-455a-9f92-983deb79f058" }, "execution_count": 12, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Descriptive Statistics for Text Lengths:\n", " word_count_response char_count_response\n", "count 26872.000000 26872.000000\n", "mean 104.789037 634.104495\n", "std 52.966204 331.593822\n", "min 9.000000 57.000000\n", "25% 72.000000 427.000000\n", "50% 90.000000 540.000000\n", "75% 124.000000 753.000000\n", "90% 173.000000 1059.000000\n", "95% 206.000000 1295.000000\n", "99% 300.000000 1837.000000\n", "max 402.000000 2472.000000\n", "\n", "Total words: 2815891\n", "Unique words (Vocabulary size): 11951\n", "\n", "Top 10 most common words:\n", "[('to', 147141), ('the', 127056), ('you', 124697), ('your', 88966), ('and', 63970), ('with', 43179), ('or', 41385), ('our', 41366), ('for', 37625), ('a', 37072)]\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "There is a significant disparity between input (Instruction) and output (Response) lengths. Analysis shows that instructions are highly concise, with a mean length of ~9 words and a maximum of 16 words. In contrast, the responses are much more complex, averaging ~105 words with a maximum of 402 words. This finding is critical for our model configuration: a small max_length (e.g., 64 tokens) will be sufficient for the classification task, while the future generation phase will require a much larger token limit." ], "metadata": { "id": "c90aBK9BRE1i" } }, { "cell_type": "markdown", "source": [ "### Special Character and Placeholder Analysis" ], "metadata": { "id": "mISPzi_6VXFH" } }, { "cell_type": "code", "source": [ "# Function to extract text inside {{ }}\n", "def extract_placeholders(text):\n", " return re.findall(r\"\\{\\{(.*?)\\}\\}\", str(text))\n", "\n", "# Apply to all instruction columns\n", "all_placeholders = df['instruction'].apply(extract_placeholders)\n", "\n", "# Combine into one big list\n", "flattened_placeholders = [item for sublist in all_placeholders for item in sublist]\n", "\n", "# Count the frequency\n", "placeholder_counts = Counter(flattened_placeholders)\n", "placeholder_counts" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "JB9zMcllVbjB", "outputId": "5a169393-5b69-40e7-fa30-61036dd3ccac" }, "execution_count": 13, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Counter({'Order Number': 2907,\n", " 'Invoice Number': 8,\n", " 'Person Name': 887,\n", " 'Account Type': 1011,\n", " 'Account Category': 822,\n", " 'Delivery City': 234,\n", " 'Delivery Country': 177,\n", " 'Currency Symbol': 372,\n", " 'Refund Amount': 624})" ] }, "metadata": {}, "execution_count": 13 } ] }, { "cell_type": "markdown", "source": [ "We identified 9 unique types of placeholders, such as `{{Order Number}}`, `{{Refund Amount}}`, and `{{Account Type}}`. These placeholders serve as anonymized entity markers. Order Number is the most prevalent, appearing in nearly 11% of the instructions. Since these placeholders provide structural context for the model to understand where specific data points are located, we decided to retain them in the training data rather than removing them during preprocessing." ], "metadata": { "id": "mVVC4NZDeiMK" } }, { "cell_type": "markdown", "source": [ "### N-gram Analysis (Unigram, Bigram, Trigram)" ], "metadata": { "id": "42pnRVgOZciL" } }, { "cell_type": "code", "source": [ "def get_top_ngram(corpus, n=None):\n", " vec = CountVectorizer(ngram_range=(n, n), stop_words='english').fit(corpus)\n", " bag_of_words = vec.transform(corpus)\n", " sum_words = bag_of_words.sum(axis=0)\n", " words_freq = [(word, sum_words[0, idx]) for word, idx in vec.vocabulary_.items()]\n", " words_freq = sorted(words_freq, key = lambda x: x[1], reverse=True)\n", " return words_freq[:10]\n", "\n", "# Find top bigrams for ALL unique intents\n", "unique_intents = df['intent'].unique()\n", "all_top_bigrams = {}\n", "\n", "for itn in unique_intents:\n", " corpus = df[df['intent'] == itn]['instruction']\n", " # The get_top_ngram function that we discussed earlier\n", " all_top_bigrams[itn] = get_top_ngram(corpus, n=2)[:5] # Just take the top 5 to make it neat\n", "\n", "# Show some of the most interesting ones\n", "for itn, bigrams in list(all_top_bigrams.items())[:5]:\n", " print(f\"Intent: {itn} -> {bigrams}\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "PAhORQLZWOEn", "outputId": "b2e05e13-6c33-491f-806e-b82a8c37f59a" }, "execution_count": 14, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Intent: cancel_order -> [('order number', np.int64(973)), ('purchase order', np.int64(544)), ('order order', np.int64(395)), ('cancel purchase', np.int64(233)), ('cancel order', np.int64(148))]\n", "Intent: change_order -> [('order number', np.int64(965)), ('order order', np.int64(541)), ('purchase order', np.int64(390)), ('item order', np.int64(62)), ('need help', np.int64(62))]\n", "Intent: change_shipping_address -> [('shipping address', np.int64(281)), ('delivery address', np.int64(267)), ('trying update', np.int64(47)), ('trying change', np.int64(41)), ('need assistance', np.int64(40))]\n", "Intent: check_cancellation_fee -> [('early exit', np.int64(189)), ('early termination', np.int64(166)), ('check early', np.int64(103)), ('termination fees', np.int64(61)), ('check termination', np.int64(60))]\n", "Intent: check_invoice -> [('quick look', np.int64(195)), ('look invoice', np.int64(125)), ('bills person', np.int64(109)), ('invoices person', np.int64(95)), ('invoice person', np.int64(75))]\n" ] } ] }, { "cell_type": "markdown", "source": [ "Bigram analysis reveals distinct 'linguistic fingerprints' for each intent. For example, while different intents might share common words, their sequences are unique: 'cancel_order' is characterized by 'purchase order' and 'cancel purchase', while 'check_invoice' is dominated by 'quick look' and 'bills person'. This confirms that using a Transformer-based model (like DistilBERT) is appropriate, as it can effectively capture these sequence-dependent features." ], "metadata": { "id": "mzcx5oYGerzx" } }, { "cell_type": "markdown", "source": [ "### Word Cloud per Intent" ], "metadata": { "id": "eJcO0I1EcDmd" } }, { "cell_type": "code", "source": [ "def show_wordcloud(intent_name):\n", " # Combines all the text in a specific intent\n", " text = \" \".join(df[df['intent'] == intent_name]['instruction'])\n", "\n", " # Create a WordCloud object\n", " wordcloud = WordCloud(\n", " width=800,\n", " height=400,\n", " background_color='white',\n", " colormap='viridis'\n", " ).generate(text)\n", "\n", " # Display the plot\n", " plt.figure(figsize=(10, 5))\n", " plt.imshow(wordcloud, interpolation='bilinear')\n", " plt.title(f'Word Cloud for Intent: {intent_name}', fontsize=15)\n", " plt.axis('off')\n", " plt.show()\n", "\n", "# Usage examples:\n", "show_wordcloud('payment_issue')" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 446 }, "id": "mkQjyLf3cDOk", "outputId": "45343a2e-8bab-4636-9c36-3bb62eb23ba3" }, "execution_count": 15, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "To further validate the semantic integrity of our dataset, we generated Word Clouds for various intents. For instance, the payment_issue intent visualization clearly highlights keywords such as 'payment', 'online', 'report', 'trouble', and 'transfer'. This immediate visual feedback confirms that the instructions are highly relevant to their assigned labels and that there is minimal noise in the textual data. These high-density keywords will serve as strong features for our Transformer model during the classification training phase." ], "metadata": { "id": "ES-PiuDIe9sK" } }, { "cell_type": "markdown", "source": [ "### Vocabulary Check" ], "metadata": { "id": "LkKrK3gccMfd" } }, { "cell_type": "code", "source": [ "# Combines all instruction text into one large string\n", "all_instructions = \" \".join(df['instruction'].astype(str)).lower()\n", "\n", "# Split a string into a list of words\n", "words = all_instructions.split()\n", "\n", "# Count total words and unique words\n", "total_words = len(words)\n", "unique_words = set(words)\n", "vocab_size = len(unique_words)\n", "\n", "print(f\"Amount Of Word Inside Datasets: {total_words}\")\n", "print(f\"Amount of Unique Word (Vocab Size): {vocab_size}\")\n", "print(f\"Unique Rasio: {(vocab_size / total_words) * 100:.2f}%\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "miIaeJi4cNxK", "outputId": "24368cfa-c0f9-41d4-e360-b010821d6572" }, "execution_count": 16, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Amount Of Word Inside Datasets: 233544\n", "Amount of Unique Word (Vocab Size): 3191\n", "Unique Rasio: 1.37%\n" ] } ] }, { "cell_type": "markdown", "source": [ "The dataset features a compact vocabulary of 3,191 unique words with a low uniqueness ratio (1.37%). This high frequency of repeated tokens indicates a very consistent and structured dataset, which is ideal for deep learning convergence. Visualizing these tokens through Word Clouds confirms strong semantic alignment; for example, the payment_issue intent is clearly associated with terms like 'report', 'trouble', and 'transfer', ensuring our labels are high-quality and reliable." ], "metadata": { "id": "9Na_4b_AeycK" } }, { "cell_type": "markdown", "source": [ "## Label Encoding the target (Intent) & Split Data sets" ], "metadata": { "id": "2QVWFCeWmO6N" } }, { "cell_type": "code", "source": [ "# Label Encoding (Target y)\n", "le = LabelEncoder()\n", "df['intent_label'] = le.fit_transform(df['intent'])\n", "\n", "# Save mapping for future (Week 3 & 4)\n", "mapping = dict(zip(range(len(le.classes_)), le.classes_))\n", "with open('intent_mapping.json', 'w') as f:\n", " json.dump(mapping, f)\n", "\n", "print(f\"Total Unique Intents: {len(le.classes_)}\")\n", "\n", "# Train-Validation Split (80% Train, 20% Val)\n", "# We only need the 'instruction' column as X and 'intent_label' as y\n", "df_train, df_val = train_test_split(\n", " df,\n", " test_size=0.2,\n", " random_state=42,\n", " stratify=df['intent_label'] # Ensure balanced class distribution across both sets\n", ")\n", "\n", "print(f\"Train size: {len(df_train)}, Val size: {len(df_val)}\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "I-_N4pw2fJxz", "outputId": "e074ccc3-4a2f-4a2c-c86c-0dfdfed75d7d" }, "execution_count": 17, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Total Unique Intents: 27\n", "Train size: 21497, Val size: 5375\n" ] } ] }, { "cell_type": "markdown", "source": [ "## Building PyTorch Dataset & DataLoader" ], "metadata": { "id": "mGbqwjgloAmV" } }, { "cell_type": "code", "source": [ "class SupportTicketDataset(Dataset):\n", " \"\"\"\n", " A dataset class for processing customer support tickets into a\n", " format compatible with Transformer models in PyTorch.\n", " \"\"\"\n", " def __init__(self, texts, labels, tokenizer, max_len):\n", " self.texts = texts.values\n", " self.labels = labels.values\n", " self.tokenizer = tokenizer\n", " self.max_len = max_len\n", "\n", " def __len__(self):\n", " # Returns the total number of data in the dataset\n", " return len(self.texts)\n", "\n", " def __getitem__(self, idx):\n", " # Retrieve a single row of data based on index\n", " text = str(self.texts[idx])\n", " label = self.labels[idx]\n", "\n", " # Perform text tokenization (NLU Processing)\n", " encoding = self.tokenizer(\n", " text,\n", " add_special_tokens=True, # Added [CLS] and [SEP] tokens\n", " max_length=self.max_len, # Determined from EDA results\n", " padding='max_length', # Padding to ensure uniform tensor length\n", " truncation=True, # Truncates text if it exceeds max_len\n", " return_attention_mask=True, # Generate a mask for padding tokens\n", " return_tensors='pt', # Output in PyTorch Tensors format\n", " )\n", "\n", " # Returns a dictionary containing the processed data.\n", " return {\n", " 'text': text, # Useful for debugging during evaluation\n", " 'input_ids': encoding['input_ids'].flatten(),\n", " 'attention_mask': encoding['attention_mask'].flatten(),\n", " 'labels': torch.tensor(label, dtype=torch.long)\n", " }\n", "\n", "# --- Initialize Objects ---\n", "ticket_tokenizer = AutoTokenizer.from_pretrained('distilbert-base-uncased')\n", "print(f\"Type After Fixed: {type(ticket_tokenizer)}\")\n", "\n", "# DEBUG: Make sure this is an OBJECT, not a CLASS\n", "if isinstance(ticket_tokenizer, type):\n", " print(\"ERROR: The variable is still a CLASS. Make sure .from_pretrained() is called.\")\n", "else:\n", " print(f\"SUCCESS: Variable is of type OBJECT {type(ticket_tokenizer)}\")\n", " # Function Tes\n", " test = ticket_tokenizer(\"test\")\n", " print(\"Tokenization Test Successful!\")\n", "\n", "# Create a Dataset instance (Use max_len=64 from our EDA results)\n", "MAX_LEN = 64\n", "train_dataset = SupportTicketDataset(\n", " df_train['instruction'],\n", " df_train['intent_label'],\n", " ticket_tokenizer,\n", " MAX_LEN\n", ")\n", "\n", "# Create a DataLoader (The Batch Factory)\n", "val_dataset = SupportTicketDataset(\n", " df_val['instruction'],\n", " df_val['intent_label'],\n", " ticket_tokenizer,\n", " MAX_LEN\n", ")\n", "\n", "# Re-create DataLoader\n", "train_loader = DataLoader(train_dataset, batch_size=32, shuffle=True)\n", "val_loader = DataLoader(val_dataset, batch_size=32)\n", "\n", "# Final Verification\n", "sample_batch = next(iter(train_loader))\n", "print(\"\\nBatch Verification SUCCESS!\")\n", "print(f\"Input IDs shape: {sample_batch['input_ids'].shape}\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "aV6KoamYoFqL", "outputId": "bb21698e-4b45-4806-d7fc-baf39c2dbd81" }, "execution_count": 18, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n", "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", "You will be able to reuse this secret in all of your notebooks.\n", "Please note that authentication is recommended but still optional to access public models or datasets.\n", " warnings.warn(\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Type After Fixed: \n", "SUCCESS: Variable is of type OBJECT \n", "Tokenization Test Successful!\n", "\n", "Batch Verification SUCCESS!\n", "Input IDs shape: torch.Size([32, 64])\n" ] } ] }, { "cell_type": "markdown", "source": [ "## Model Initialization & Device Selection" ], "metadata": { "id": "ud4BFNF7zT2T" } }, { "cell_type": "code", "source": [ "# Select Device (Make sure Colab Runtime is using T4 GPU)\n", "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", "print(f\"Menggunakan device: {device}\")\n", "\n", "# Load Model\n", "model = DistilBertForSequenceClassification.from_pretrained(\n", " 'distilbert-base-uncased',\n", " num_labels=27 # According to the number of intents from yesterday's LabelEncoding results\n", ")\n", "\n", "model.to(device)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 934, "referenced_widgets": [ "2e190e1f87774d30a3cf44f7050c6fbb", "15967250d71e42ee9501f0ab680eaad8", "46e09d794c9f42458d10131387d60411", "0a0623a310114299849220b1ed8ef23a", "ae1b0ca1856342a4a99e404bb82f61c2", "ab52c95ff4f146e8be3f5ee07441d62e", "becfbb62a00e433cb6928756c897670d", "c5ac803bfa19459291f4a61165b9744b", "741ca1af6eb24f09adb874f180a4f38c", "419341b37ca24667baed16a0adafffe3", "61a600d17a734e19b79009ee8ffaed6b" ] }, "id": "9zMVrOaxznG7", "outputId": "896a69f9-515b-466c-a41a-ee9dd0a656de" }, "execution_count": 19, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Menggunakan device: cuda\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "Loading weights: 0%| | 0/100 [00:00 best_accuracy:\n", " torch.save(model.state_dict(), 'best_model_state.bin')\n", " best_accuracy = val_acc" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 492, "referenced_widgets": [ "903e2b2da6e84b9595f0f116376bdaf1", "7e22c909eaf74b8a9a8aa45b659b9af0", "808df6c6e6a1451a9d8789a3612afda7", "4dfdb547ca784282b7c2956b4e5d4f37", "94f9b823b3a24bb5b0e4e40b442f7548", "890e64d1078042399cf4b80bf8ba1a84", "1b9cd7db032e47b49e6e7b3b60ef8afc", "2150dc81ec67490e806ca546a16f3b5a", "8464383d31244c3786720ef4c200c8ee", "ce0e20b033af49cba290c2c7492c23b8", "3fa493f7d7f5472fa42609b537048e30", "258986ae0b424444bfa3cfa07b3a6e8f", "15c991e9233d4fb8a93d72dfa6818362", "682bbe1053034769afeed9646c48cf67", "19083d7a48774eb89480205e69864d83", "cd30aff186094defab8e00f7c8622e3d", "b11a0c496a784a11bdbc5f8fcbc3ef24", "2e799cf371ab4d7383e694d7b6c9ba30", "684af4bfacaa4c9ab04a48161df5c4ee", "9f3644e8e0c34498bc652c476c73ad3f", "d05d0b5735c04dc8a6ea69bc43fa8281", "cd4507a739d6448abc0552651706e98a", "e851717f6a2c4a77b71f9be3c3c68230", "4a06ba065e224f0a8d10acf30e20a7de", "1f61dd1244e7466fbb8e11b1d8044a9c", "2c3fa515578c4b6193fef9002f0aa4ca", "e7889dc311464329955d0b49b4f18a90", "a6b2a717e915444781e6256b9b82d58f", "a50828caf1ca4c74b4bf12fee6f9e878", "d28581f5e4c74b11aed7bd2b5b7ff2d4", "a895f905beaa4dccbf9064e90f7c0b95", "cf2b4d0ff8d049d0b1e26a8a6d4117cb", "8b73e451f60c43b0b5ffb840aafef7a7", "0bd162eb0154427693df3c79ec197589", "1067ede5dba9475481dae104ce9c2b7f", "d5a66186ab7640bb8a2dd12f2174ab81", "b389c5a9d33b404494652a7becd05529", "a1f5f460ae484341b9aa222bab2f46ea", "a0ccba46769041b6be3abbe6a6c12b65", "3e86e94289d947259bc994bee25376b8", "f820c3dacfc34803be96e5e3a7c8740d", "c15175c81ea74dc996c71dd8c288a458", "fa02e70409ca42d1828665b28ffa0b36", "0928e7aa74b54c9ba41156583a008f32" ] }, "id": "N-DalkyqA7PE", "outputId": "14187a83-9088-40fc-88bf-cd62673487a0" }, "execution_count": 23, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/4\n", "----------\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "Training: 0%| | 0/672 [00:00" ], "image/png": 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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "# Classification Report\n", "# Pastikan model dalam mode eval\n", "model.eval()\n", "y_pred, y_true = [], []\n", "\n", "with torch.no_grad():\n", " for d in val_loader:\n", " input_ids = d[\"input_ids\"].to(device)\n", " attention_mask = d[\"attention_mask\"].to(device)\n", " labels = d[\"labels\"].to(device)\n", "\n", " outputs = model(input_ids=input_ids, attention_mask=attention_mask)\n", " _, preds = torch.max(outputs.logits, dim=1)\n", "\n", " y_pred.extend(preds.cpu().tolist())\n", " y_true.extend(labels.cpu().tolist())\n", "\n", "# Menampilkan report mendalam\n", "print(classification_report(y_true, y_pred, target_names=le.classes_))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "7-wrWU3xS9Zw", "outputId": "b3ec0d8a-8eaf-418c-afd6-f7db315bf70f" }, "execution_count": 25, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " precision recall f1-score support\n", "\n", " cancel_order 1.00 1.00 1.00 200\n", " change_order 0.99 1.00 0.99 199\n", " change_shipping_address 0.99 1.00 1.00 195\n", " check_cancellation_fee 1.00 1.00 1.00 190\n", " check_invoice 0.99 0.99 0.99 200\n", " check_payment_methods 1.00 1.00 1.00 200\n", " check_refund_policy 1.00 0.99 1.00 199\n", " complaint 1.00 1.00 1.00 200\n", "contact_customer_service 1.00 1.00 1.00 200\n", " contact_human_agent 1.00 1.00 1.00 200\n", " create_account 0.99 1.00 1.00 199\n", " delete_account 1.00 1.00 1.00 199\n", " delivery_options 0.99 1.00 1.00 199\n", " delivery_period 0.99 0.99 0.99 200\n", " edit_account 1.00 1.00 1.00 200\n", " get_invoice 0.99 0.99 0.99 200\n", " get_refund 0.99 1.00 1.00 199\n", " newsletter_subscription 1.00 1.00 1.00 200\n", " payment_issue 1.00 0.99 0.99 200\n", " place_order 1.00 0.99 1.00 200\n", " recover_password 1.00 1.00 1.00 199\n", " registration_problems 0.99 0.99 0.99 200\n", " review 1.00 1.00 1.00 199\n", " set_up_shipping_address 1.00 0.99 1.00 199\n", " switch_account 1.00 1.00 1.00 200\n", " track_order 1.00 0.98 0.99 199\n", " track_refund 1.00 1.00 1.00 200\n", "\n", " accuracy 1.00 5375\n", " macro avg 1.00 1.00 1.00 5375\n", " weighted avg 1.00 1.00 1.00 5375\n", "\n" ] } ] }, { "cell_type": "markdown", "source": [ "The final evaluation via the Classification Report reveals a Macro Average F1-Score of 1.00. Every single intent—from cancel_order to payment_issue—reached near-perfect precision and recall. This implies that the 'linguistic fingerprints' identified during our N-Gram EDA in Week 1 were indeed highly distinct, allowing the Transformer's attention mechanism to map user queries to the correct intents with near-zero ambiguity." ], "metadata": { "id": "QhSMGh0IUxE_" } }, { "cell_type": "markdown", "source": [ "## Week 3: LLM Integration & Generative Response" ], "metadata": { "id": "QSatOyHjbRej" } }, { "cell_type": "markdown", "source": [ "In this phase, we transitioned from a pure classification system to a Hybrid AI Architecture. We utilize DistilBERT as a 'Small Language Model' (SLM) for cost-effective and high-speed intent detection, and Gemini 2.5-flash as the 'Reasoning & Generation Layer'. This approach optimizes performance: the SLM provides structural understanding (what the user wants), while the LLM provides conversational fluidity and empathy (how we answer)." ], "metadata": { "id": "hlAOYFPMqhhS" } }, { "cell_type": "code", "source": [ "# API Configuration\n", "# Get the API key from the 'Secrets' feature in Colab\n", "api_key = userdata.get('GEMINI_API_KEY')\n", "genai.configure(api_key=api_key)\n", "llm_model = genai.GenerativeModel('gemini-2.5-flash')\n", "\n", "def generate_customer_response(user_query, predicted_intent, base_response):\n", " \"\"\"\n", " Function to craft answers using LLM based on intent and basic responses.\n", " \"\"\"\n", "\n", " # Prompt Engineering: Assigning Roles and Boundaries to LLM\n", " prompt = f\"\"\"\n", " You are a professional and empathetic Technical Support Agent for a tech company.\n", "\n", " USER QUERY: \"{user_query}\"\n", " DETECTED INTENT: {predicted_intent}\n", " BASE KNOWLEDGE: \"{base_response}\"\n", "\n", " INSTRUCTION:\n", " 1. Use the BASE KNOWLEDGE to answer the user's query.\n", " 2. Be polite, helpful, and professional.\n", " 3. If the base knowledge is not enough, ask for more details politely.\n", " 4. Keep the response concise (max 3-4 sentences).\n", " 5. Answer in the same language as the user query.\n", "\n", " RESPONSE:\n", " \"\"\"\n", "\n", " try:\n", " response = llm_model.generate_content(prompt)\n", " return response.text\n", " except Exception as e:\n", " return f\"Failed To Give Responses: {str(e)}\"" ], "metadata": { "id": "Xaks67JBbS-b" }, "execution_count": 40, "outputs": [] }, { "cell_type": "markdown", "source": [ "To prevent LLM 'hallucinations', we implemented a Knowledge-Augmented approach. Instead of letting the LLM generate answers from its internal training data alone, we feed it specific information from our dataset based on the detected intent. This ensures that the chatbot's responses remain grounded in our company's specific procedures and policies." ], "metadata": { "id": "nvrRIJtyqzPZ" } }, { "cell_type": "code", "source": [ "def ask_chatbot(user_query):\n", " # --- STEP 1: PREDICTION (The Brain) ---\n", " # Tokenization of the user query\n", " inputs = ticket_tokenizer(\n", " user_query,\n", " return_tensors=\"pt\",\n", " truncation=True,\n", " padding='max_length',\n", " max_length=64\n", " ).to(device)\n", "\n", " model.eval()\n", " with torch.no_grad():\n", " outputs = model(**inputs)\n", "\n", " # Converting logits to probabilities\n", " probs = F.softmax(outputs.logits, dim=1)\n", "\n", " # Get the highest probability value and its index\n", " max_prob, intent_idx = torch.max(probs, dim=1)\n", "\n", " max_prob = max_prob.item()\n", " predicted_intent = le.inverse_transform([intent_idx.item()])[0]\n", "\n", " # --- STEP 2: THRESHOLD CHECK ---\n", " if max_prob < 0.8:\n", " # If the model is unsure, ask the LLM to request clarification\n", " fallback_prompt = f\"The user said: '{user_query}'. I'm not sure if they want to {predicted_intent} or something else. Ask them politely to clarify their request.\"\n", " final_answer = llm_model.generate_content(fallback_prompt).text\n", " return {\n", " \"intent\": \"low_confidence_fallback\",\n", " \"confidence\": f\"{max_prob:.2f}\",\n", " \"response\": final_answer\n", " }\n", "\n", " # --- STEP 3: NORMAL FLOW (If confident) ---\n", " base_info = df[df['intent'] == predicted_intent]['response'].values[0]\n", " final_answer = generate_customer_response(user_query, predicted_intent, base_info)\n", "\n", " return {\n", " \"intent\": predicted_intent,\n", " \"confidence\": f\"{max_prob:.2f}\",\n", " \"response\": final_answer\n", " }" ], "metadata": { "id": "CkXkKTnCcThk" }, "execution_count": 38, "outputs": [] }, { "cell_type": "markdown", "source": [ "As an Informatics Engineer, building a reliable system is paramount. We implemented a Confidence Threshold (0.8) using the Softmax probability of the DistilBERT output. If the model's certainty falls below this threshold, the system triggers a 'Graceful Fallback,' where the LLM politely asks the user for clarification rather than providing potentially incorrect information. This adds a critical layer of AI Safety to the application." ], "metadata": { "id": "doQ7FOPsqxO7" } }, { "cell_type": "code", "source": [ "for m in genai.list_models():\n", " if 'generateContent' in m.supported_generation_methods:\n", " print(m.name)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 607 }, "id": "yPjURPSGioSX", "outputId": "71d13b3d-5703-4abb-db38-7cc5353b0c53" }, "execution_count": 29, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "models/gemini-2.5-flash\n", "models/gemini-2.5-pro\n", "models/gemini-2.0-flash\n", "models/gemini-2.0-flash-001\n", "models/gemini-2.0-flash-exp-image-generation\n", "models/gemini-2.0-flash-lite-001\n", "models/gemini-2.0-flash-lite\n", "models/gemini-exp-1206\n", "models/gemini-2.5-flash-preview-tts\n", "models/gemini-2.5-pro-preview-tts\n", "models/gemma-3-1b-it\n", "models/gemma-3-4b-it\n", "models/gemma-3-12b-it\n", "models/gemma-3-27b-it\n", "models/gemma-3n-e4b-it\n", "models/snowball-computer-use-no-safety\n", "models/gemini-3.1-pro-preview-ais-applets\n", "models/gemma-3n-e2b-it\n", "models/gemini-flash-latest\n", "models/gemini-flash-lite-latest\n", "models/gemini-pro-latest\n", "models/gemini-2.5-flash-lite\n", "models/gemini-2.5-flash-image\n", "models/gemini-2.5-flash-preview-09-2025\n", "models/gemini-2.5-flash-lite-preview-09-2025\n", "models/gemini-3-pro-preview\n", "models/gemini-3-flash-preview\n", "models/gemini-3.1-pro-preview\n", "models/gemini-3.1-pro-preview-customtools\n", "models/gemini-3-pro-image-preview\n", "models/nano-banana-pro-preview\n", "models/gemini-robotics-er-1.5-preview\n", "models/gemini-2.5-computer-use-preview-10-2025\n", "models/deep-research-pro-preview-12-2025\n" ] } ] }, { "cell_type": "code", "source": [ "# List of questions to test the chatbot's flexibility\n", "test_queries = [\n", " \"I want to cancel my order #12345, it's taking too long!\", # Emosional + Data\n", " \"how to change my pasword? i forgot it\", # Typo (pasword)\n", " \"I'm unhappy with the service, I want to delete my account\" # Formal & serious\n", "]\n", "\n", "print(\"=== TECH-SUPPORT CHATBOT TEST ===\\n\")\n", "for query in test_queries:\n", " result = ask_chatbot(query)\n", " print(f\"User : {query}\")\n", " print(f\"Intent : {result['intent']}\")\n", " print(f\"Bot : {result['response']}\")\n", " print(\"-\" * 50)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 280 }, "id": "8JUwdS7Qenl6", "outputId": "05ed968b-e4ae-47ff-fe7a-2448b6955a11" }, "execution_count": 39, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "=== TECH-SUPPORT CHATBOT TEST ===\n", "\n", "User : I want to cancel my order #12345, it's taking too long!\n", "Intent : cancel_order\n", "Bot : Thank you for contacting us. I've understood you have a question regarding canceling order #12345, and I'm here to provide you with the information you need. To proceed with your request, please confirm that you would like to cancel this order.\n", "--------------------------------------------------\n", "User : how to change my pasword? i forgot it\n", "Intent : change_shipping_address\n", "Bot : Hello! I understand you're looking to change your password because you've forgotten it. The information I have here is about modifying a delivery address. Could you confirm if you need help with your shipping address, or if you're specifically looking to reset your account password so I can guide you properly?\n", "--------------------------------------------------\n", "User : I'm unhappy with the service, I want to delete my account\n", "Intent : delete_account\n", "Bot : I'm truly sorry to hear you're unhappy with our service and wish to delete your account. Thank you for getting in touch regarding the closure of your account. I understand that this is an important decision for you, and I'm here to assist you throughout the process. To ensure a smooth account closure, please provide me with more details about your request, and I'll guide you through the necessary steps.\n", "--------------------------------------------------\n" ] } ] }, { "cell_type": "markdown", "source": [ "One of the most significant insights during testing was the LLM’s ability to act as a Linguistic Safeguard. In cases where the intent classifier made an 'overconfident error' (e.g., misclassifying 'password' as 'address'), the Gemini 2.5-flash model was able to detect the contradiction between the user's raw input and the provided base knowledge. Instead of blindly following the wrong intent, the LLM intelligently asked for clarification—demonstrating that a hybrid system is significantly more robust than a standalone classifier." ], "metadata": { "id": "r7sL3Oc4q4XK" } }, { "cell_type": "markdown", "source": [ "## Save Model" ], "metadata": { "id": "3T4w-qBJt4Lx" } }, { "cell_type": "code", "source": [ "# Create a directory to store all export files\n", "export_dir = 'tech_support_model'\n", "if not os.path.exists(export_dir):\n", " os.makedirs(export_dir)\n", "\n", "# Save the Tokenizer (This will generate several .json files)\n", "# Very important to ensure the tokenization process in Streamlit is consistent later\n", "ticket_tokenizer.save_pretrained(os.path.join(export_dir, 'tokenizer'))\n", "\n", "# 3. Save Label Encoder (Using joblib)\n", "joblib.dump(le, os.path.join(export_dir, 'label_encoder.joblib'))\n", "\n", "# 4. Make sure the model weights are saved in this folder\n", "# Let's move the .bin file that was created in Week 2\n", "!cp best_model_state.bin {export_dir}/\n", "\n", "# 5. Zip the folder so it can be easily downloaded all at once\n", "!zip -r tech_support_model.zip {export_dir}\n", "\n", "# Download zip file to computer\n", "files.download('tech_support_model.zip')\n", "\n", "print(\"✅ All model artifacts have been successfully packaged and are ready to download!\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 138 }, "id": "hsAOI1X7t35o", "outputId": "e6eda71a-f660-4e27-b450-8cc892a6ffc0" }, "execution_count": 42, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " adding: tech_support_model/ (stored 0%)\n", " adding: tech_support_model/best_model_state.bin (deflated 8%)\n", " adding: tech_support_model/tokenizer/ (stored 0%)\n", " adding: tech_support_model/tokenizer/tokenizer_config.json (deflated 42%)\n", " adding: tech_support_model/tokenizer/tokenizer.json (deflated 71%)\n", " adding: tech_support_model/label_encoder.joblib (deflated 42%)\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "application/javascript": [ "\n", " async function download(id, filename, size) {\n", " if (!google.colab.kernel.accessAllowed) {\n", " return;\n", " }\n", " const div = document.createElement('div');\n", " const label = document.createElement('label');\n", " label.textContent = `Downloading \"${filename}\": `;\n", " div.appendChild(label);\n", " const progress = document.createElement('progress');\n", " progress.max = size;\n", " div.appendChild(progress);\n", " document.body.appendChild(div);\n", "\n", " const buffers = [];\n", " let downloaded = 0;\n", "\n", " const channel = await google.colab.kernel.comms.open(id);\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", "\n", " for await (const message of channel.messages) {\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", " if (message.buffers) {\n", " for (const buffer of message.buffers) {\n", " buffers.push(buffer);\n", " downloaded += buffer.byteLength;\n", " progress.value = downloaded;\n", " }\n", " }\n", " }\n", " const blob = new Blob(buffers, {type: 'application/binary'});\n", " const a = document.createElement('a');\n", " a.href = window.URL.createObjectURL(blob);\n", " a.download = filename;\n", " div.appendChild(a);\n", " a.click();\n", " div.remove();\n", " }\n", " " ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "application/javascript": [ "download(\"download_0ffa2ca0-5cb4-4add-8fd4-0cda068cec60\", \"tech_support_model.zip\", 247072051)" ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "✅ All model artifacts have been successfully packaged and are ready to download!\n" ] } ] } ] }