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"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Module 3: Intent Classification\n",
"\n",
"This notebook documents the intent classifier used to route chatbot messages. The classifier uses few-shot prompting with Groq and returns one of five intents."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Design\n",
"\n",
"Few-shot prompting is a good fit here because the label space is small, the routing rules are explicit, and the classifier should be easy to inspect and adjust without training a new model."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "9aa6f310",
"metadata": {},
"outputs": [],
"source": [
"import sys\n",
"from pathlib import Path\n",
"\n",
"PROJECT_ROOT = Path.cwd().resolve().parent if Path.cwd().name == 'notebooks' else Path.cwd().resolve()\n",
"sys.path.append(str(PROJECT_ROOT / 'src' / 'models'))\n",
"\n",
"from intent_classifier import IntentClassifier, TEST_CASES"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "4ba6de78",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'intent': 'asking_mental_health_question',\n",
" 'confidence': 1.0,\n",
" 'reason': 'The user describes anxiety and sleep difficulty, indicating a mental-health concern.'}"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"classifier = IntentClassifier()\n",
"classifier.classify('hi, I feel anxious and cannot sleep')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "7f5eb391",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1.0"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"results = classifier.evaluate(TEST_CASES)\n",
"classifier.save_reports(results)\n",
"results['accuracy']"
]
}
],
"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": "3.12.0"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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