108 lines
2.0 KiB
Plaintext
108 lines
2.0 KiB
Plaintext
{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# ASR"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"def asr(inputText: str) -> str:\n",
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" # Do something\n",
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" inputText\n"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# NLU"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
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"outputs": [],
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"source": [
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"class Nlu:\n",
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" def __init__(self, text: str):\n",
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" self.text = text\n",
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" self.slot = []\n",
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" \n",
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" def get_dialog_act(self):\n",
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" act = \"question\" if \"?\" in self.text else \"\"\n",
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" if \"imię\" in self.text:\n",
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" self.slot.append((\"o_co\", \"imie\"))\n",
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" return {\"act\": act, \"slot\": self.slot }\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'act': 'question', 'slot': [('o_co', 'imie')]}"
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]
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},
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"nlu = Nlu(\"Jak masz na imię?\")\n",
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"nlu.get_dialog_act()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "SDenv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.9"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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