diff --git a/.ipynb_checkpoints/AJN-checkpoint.ipynb b/.ipynb_checkpoints/AJN-checkpoint.ipynb
new file mode 100644
index 0000000..8f87484
--- /dev/null
+++ b/.ipynb_checkpoints/AJN-checkpoint.ipynb
@@ -0,0 +1,303 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ "\n",
+ "
Systemy Dialogowe
\n",
+ " 7. Parsing semantyczny z wykorzystaniem gramatyk [laboratoria]
\n",
+ " Marek Kubis (2021)
\n",
+ "\n",
+ "\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Parsing semantyczny z wykorzystaniem gramatyk\n",
+ "=============================================\n",
+ "\n",
+ "Wartości slotów możemy wydobywać z wypowiedzi użytkownika korzystając z takich technik, jak:\n",
+ "\n",
+ " - wyszukiwanie słów kluczowych w tekście,\n",
+ "\n",
+ " - dopasowywanie wzorców zbudowanych przy użyciu wyrażeń regularnych,\n",
+ "\n",
+ " - parsery regułowe (temat dzisiejszych zajęć),\n",
+ "\n",
+ " - uczenie maszynowe (temat kolejnych zajęć)."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Przykłady parserów regułowych\n",
+ "-----------------------------\n",
+ "\n",
+ " - [Phoenix](http://wiki.speech.cs.cmu.edu/olympus/index.php/Phoenix_Server) — parser gramatyk\n",
+ " bezkontekstowych whodzący w skład systemu dialogowego [Olympus](http://wiki.speech.cs.cmu.edu/olympus/index.php/Olympus)\n",
+ "\n",
+ " - Parsery [DCG](https://www.swi-prolog.org/pldoc/man?section=DCG) (Definite Clause Grammars) języka [Prolog](https://www.swi-prolog.org/)\n",
+ "\n",
+ " - [JSpeech Grammar Format](https://www.w3.org/TR/jsgf/) (JSGF)\n",
+ "\n",
+ "Przykład\n",
+ "--------\n",
+ "Zapiszmy w JSGF gramatykę semantyczną dla aktu dialogowego reprezentującego zamiar rezerwacji\n",
+ "stolika w restauracji."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Overwriting book.jsgf\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%writefile book.jsgf\n",
+ "#JSGF V1.0 UTF-8 pl;\n",
+ "\n",
+ "grammar book;\n",
+ "\n",
+ "public = chciałbym zarezerwować [] [];\n",
+ "\n",
+ " = {ilosc} (bilety | biletów);\n",
+ "\n",
+ " = dwa | trzy | cztery |1|2|3|4|5|6;\n",
+ "\n",
+ " = na [film] {tytul};\n",
+ "\n",
+ " = Batman | Uncharted | Pitbull;\n",
+ "\n",
+ " = na {dzien};\n",
+ "\n",
+ " = dzisiaj | jutro | poniedziałek | wtorek | środę | czwartek | piątek | sobotę | niedzielę;\n",
+ "\n",
+ " = na [godzinę] {godzina};\n",
+ "\n",
+ " = [];\n",
+ "\n",
+ " = dziewiątą | dziesiątą | jedenastą | dwunastą;\n",
+ "\n",
+ " = pietnaście | trzydzieści;\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Parser akceptujący powyższą gramatykę utworzymy korzystając z biblioteki [pyjsgf](https://github.com/Danesprite/pyjsgf)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Grammar(version=1.0, charset=UTF-8, language=pl, name=book)"
+ ]
+ },
+ "execution_count": 52,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "import jsgf\n",
+ "\n",
+ "book_grammar = jsgf.parse_grammar_file('book.jsgf')\n",
+ "book_grammar"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Wykorzystajmy gramatykę `book.jsgf` do analizy następującej wypowiedzi"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[Rule(name='rezerwuj', visible=True, expansion=Sequence(Literal('chciałbym zarezerwować'), NamedRuleRef('ilosc_biletow'), NamedRuleRef('tytul_filmu'), OptionalGrouping(NamedRuleRef('dzien_rezerwacji')), OptionalGrouping(NamedRuleRef('godzina_rezerwacji'))))]"
+ ]
+ },
+ "execution_count": 53,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "utterance = 'chciałbym zarezerwować 1 biletów na film Pitbull'\n",
+ "matched = book_grammar.find_matching_rules(utterance)\n",
+ "matched"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Reprezentację znaczenia można wydobyć ze sparsowanej wypowiedzi na wiele sposobów. My do\n",
+ "wydobywania slotów wykorzystamy mechanizm tagów JSGF a za nazwę aktu dialogowego przyjmiemy nazwę\n",
+ "gramatyki. Wzorując się na [DSTC2](https://github.com/matthen/dstc) wynikową ramę zapiszemy korzystając ze słownika o polach `act` i `slots`."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'act': 'book',\n",
+ " 'slots': [('ilosc', '1'),\n",
+ " ('tytul', 'Pitbull'),\n",
+ " ('dzien', None),\n",
+ " ('godzina', None)]}"
+ ]
+ },
+ "execution_count": 54,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "def get_dialog_act(rule):\n",
+ " slots = []\n",
+ " get_slots(rule.expansion, slots)\n",
+ " return {'act': rule.grammar.name, 'slots': slots}\n",
+ "\n",
+ "def get_slots(expansion, slots):\n",
+ " if expansion.tag != '':\n",
+ " slots.append((expansion.tag, expansion.current_match))\n",
+ " return\n",
+ "\n",
+ " for child in expansion.children:\n",
+ " get_slots(child, slots)\n",
+ "\n",
+ " if not expansion.children and isinstance(expansion, jsgf.NamedRuleRef):\n",
+ " get_slots(expansion.referenced_rule.expansion, slots)\n",
+ "\n",
+ "get_dialog_act(matched[0])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Łącząc powyższe funkcje możemy zbudować prosty moduł NLU."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'act': 'null', 'slots': []}"
+ ]
+ },
+ "execution_count": 41,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "def nlu(utterance):\n",
+ " matched = book_grammar.find_matching_rules(utterance)\n",
+ "\n",
+ " if matched:\n",
+ " return get_dialog_act(matched[0])\n",
+ " else:\n",
+ " return {'act': 'null', 'slots': []}\n",
+ "\n",
+ "nlu('chciałbym zarezerwować dwa bilety na film Pitbull')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Problemy\n",
+ "--------\n",
+ "\n",
+ " - Co z normalizacją wyrażeń liczbowych takich, jak godziny, daty czy numery telefonów?\n",
+ "\n",
+ " - Co w przypadku gdy więcej niż jedna reguła zostanie dopasowana?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Zadanie\n",
+ "-------\n",
+ "Zaimplementować analizator języka naturalnego (NLU) na potrzeby realizowanego agenta dialogowego.\n",
+ "\n",
+ "Moduł powinien być zbudowany z wykorzystaniem parsingu regułowego i/lub technik uczenia maszynowego.\n",
+ "\n",
+ "Przygotować skrypt `evaluate.py` wyznaczający *dokładność* (ang. accuracy) analizatora względem zgromadzonego korpusu eksperymentalnego,\n",
+ "tj. stosunek liczby wypowiedzi użytkownika, w których akty dialogowe zostały rozpoznane prawidłowo do liczby wszystkich wypowiedzi użytkownika w korpusie.\n",
+ "\n",
+ "Analizator języka naturalnego umieścić w gałęzi `master` repozytorium projektowego. Skrypt `evaluate.py` umieścić w katalogu głównym tej gałęzi.\n",
+ "\n",
+ "Termin: 4.05.2022, godz. 23:59."
+ ]
+ }
+ ],
+ "metadata": {
+ "author": "Marek Kubis",
+ "email": "mkubis@amu.edu.pl",
+ "jupytext": {
+ "cell_metadata_filter": "-all",
+ "main_language": "python",
+ "notebook_metadata_filter": "-all"
+ },
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "lang": "pl",
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.3"
+ },
+ "subtitle": "7.Parsing semantyczny z wykorzystaniem gramatyk[laboratoria]",
+ "title": "Systemy Dialogowe",
+ "year": "2021"
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/.ipynb_checkpoints/chatbot-checkpoint.ipynb b/.ipynb_checkpoints/chatbot-checkpoint.ipynb
new file mode 100644
index 0000000..528b9a0
--- /dev/null
+++ b/.ipynb_checkpoints/chatbot-checkpoint.ipynb
@@ -0,0 +1,74 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "978f5cd3-eb2e-45c4-ace8-f105ccd4cb74",
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "ModuleNotFoundError",
+ "evalue": "No module named 'jsgf'",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
+ "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_12388/3924194050.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mmodules\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDST\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mDst\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mmodules\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mAJN\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mAjn\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;32mD:\\Adi\\Szkoła\\Semestr 8\\Systemy dialogowe\\Projekt\\SystemyDialogowe\\modules\\AJN.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mjsgf\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mos\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mlistdir\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpath\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0misfile\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mjoin\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mmypath\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"./grammar/\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+ "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'jsgf'"
+ ]
+ }
+ ],
+ "source": [
+ "from modules.DST import Dst\n",
+ "from modules.AJN import Ajn\n",
+ "\n",
+ "\n",
+ "\n",
+ "if __name__ == \"__main__\":\n",
+ " nlg = nlg.Nlg()\n",
+ " nlu = nlu.Nlu()\n",
+ " dst = dst.Dst()\n",
+ "\n",
+ " next_question = dst.get_next_question()\n",
+ " while (next_question):\n",
+ " print(next_question)\n",
+ " response = input()\n",
+ " res_tokenized = nlu.tokenize(response)\n",
+ " dst.save_answer(res_tokenized['slots'])\n",
+ " next_question = dst.get_next_question()\n",
+ "\n",
+ " print(dst.checklist)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "bec70f0e-c4e9-488e-8748-6d976a67beae",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "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": "3.9.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/.ipynb_checkpoints/eliza-checkpoint.py b/.ipynb_checkpoints/eliza-checkpoint.py
new file mode 100644
index 0000000..626ef50
--- /dev/null
+++ b/.ipynb_checkpoints/eliza-checkpoint.py
@@ -0,0 +1,326 @@
+from nltk.chat.util import Chat, reflections
+
+pairs = (
+ (
+ r"I need (.*)",
+ (
+ "Why do you need %1?",
+ "Would it really help you to get %1?",
+ "Are you sure you need %1?",
+ ),
+ ),
+ (
+ r"who created you (.*)",
+ (
+ "ELIZA was invented in 1966 by Weizenbaum. Why %1?",
+
+ ),
+ ),
+ (
+ r"Why don\'t you (.*)",
+ (
+ "Do you really think I don't %1?",
+ "Perhaps eventually I will %1.",
+ "Do you really want me to %1?",
+ ),
+ ),
+ (
+ r"Why can\'t I (.*)",
+ (
+ "Do you think you should be able to %1?",
+ "If you could %1, what would you do?",
+ "I don't know -- why can't you %1?",
+ "Have you really tried?",
+ ),
+ ),
+ (
+ r"I can\'t (.*)",
+ (
+ "How do you know you can't %1?",
+ "Perhaps you could %1 if you tried.",
+ "What would it take for you to %1?",
+ ),
+ ),
+ (
+ r"I am (.*)",
+ (
+ "Did you come to me because you are %1?",
+ "How long have you been %1?",
+ "How do you feel about being %1?",
+ ),
+ ),
+ (
+ r"I\'m (.*)",
+ (
+ "How does being %1 make you feel?",
+ "Do you enjoy being %1?",
+ "Why do you tell me you're %1?",
+ "Why do you think you're %1?",
+ ),
+ ),
+ (
+ r"Are you (.*)",
+ (
+ "Why does it matter whether I am %1?",
+ "Would you prefer it if I were not %1?",
+ "Perhaps you believe I am %1.",
+ "I may be %1 -- what do you think?",
+ ),
+ ),
+ (
+ r"What (.*)",
+ (
+ "Why do you ask?",
+ "How would an answer to that help you?",
+ "What do you think?",
+ ),
+ ),
+ (
+ r"How (.*)",
+ (
+ "How do you suppose?",
+ "Perhaps you can answer your own question.",
+ "What is it you're really asking?",
+ ),
+ ),
+ (
+ r"Because (.*)",
+ (
+ "Is that the real reason?",
+ "What other reasons come to mind?",
+ "Does that reason apply to anything else?",
+ "If %1, what else must be true?",
+ ),
+ ),
+ (
+ r"(.*) sorry (.*)",
+ (
+ "There are many times when no apology is needed.",
+ "What feelings do you have when you apologize?",
+ ),
+ ),
+ (
+ r"Hello(.*)",
+ (
+ "Hello... I'm glad you could drop by today.",
+ "Hi there... how are you today?",
+ "Hello, how are you feeling today?",
+ ),
+ ),
+ (
+ r"I think (.*)",
+ ("Do you doubt %1?", "Do you really think so?", "But you're not sure %1?"),
+ ),
+ (
+ r"(.*) friend (.*)",
+ (
+ "Tell me more about your friends.",
+ "When you think of a friend, what comes to mind?",
+ "Why don't you tell me about a childhood friend?",
+ ),
+ ),
+ (r"Yes", ("You seem quite sure.", "OK, but can you elaborate a bit?")),
+ (
+ r"(.*) computer(.*)",
+ (
+ "Are you really talking about me?",
+ "Does it seem strange to talk to a computer?",
+ "How do computers make you feel?",
+ "Do you feel threatened by computers?",
+ ),
+ ),
+ (
+ r"Is it (.*)",
+ (
+ "Do you think it is %1?",
+ "Perhaps it's %1 -- what do you think?",
+ "If it were %1, what would you do?",
+ "It could well be that %1.",
+ ),
+ ),
+ (
+ r"It is (.*)",
+ (
+ "You seem very certain.",
+ "If I told you that it probably isn't %1, what would you feel?",
+ ),
+ ),
+ (
+ r"Can you (.*)",
+ (
+ "What makes you think I can't %1?",
+ "If I could %1, then what?",
+ "Why do you ask if I can %1?",
+ ),
+ ),
+ (
+ r"Czy mogę (.*)",
+ (
+ "Być może nie chcesz %1.",
+ "Czy chcesz mieć możliwość %1?",
+ "Gdybyś mógł %1, czy byś?",
+ ),
+ ),
+ (
+ r"Ty jesteś (.*)",
+ (
+ "Jak myślisz, dlaczego jestem %1?",
+ "Czy cieszy cię myśl, że jestem %1?",
+ "Być może chciałbyś, żebym był %1.",
+ "Może naprawdę mówisz o sobie?",
+ ),
+ ),
+ (
+ r"Jesteś (.*)",
+ (
+ "Dlaczego mówisz, że jestem %1?",
+ "Jak myślisz, dlaczego jestem %1?",
+ "Mówimy o tobie, czy o mnie?",
+ ),
+ ),
+ (
+ r"Ja nie (.*)",
+ ("Czy naprawdę nie %1?", "Dlaczego nie %1?", "Czy chcesz %1?"),
+ ),
+ (
+ r"Ja czuję (.*)",
+ (
+ "Dobrze, powiedz mi więcej o tych uczuciach.",
+ "Czy często czujesz %1?",
+ "Kiedy zwykle czujesz %1?",
+ "Kiedy czujesz % 1, co robisz?",
+ ),
+ ),
+ (
+ r"Mam (.*)",
+ (
+ "Dlaczego mówisz mi, że masz %1?",
+ "Czy naprawdę masz %1?",
+ "Teraz, kiedy masz %1, co zrobisz dalej?",
+ ),
+ ),
+ (
+ r"Ja chcę (.*)",
+ (
+ "Czy możesz wyjaśnić, dlaczego chcesz %1?",
+ "Dlaczego %1?",
+ "Kto jeszcze wie, że chcesz %1?",
+ ),
+ ),
+ (
+ r"Jest (.*)",
+ (
+ "Myślisz, że jest %1?",
+ "Prawdopodobnie istnieje %1.",
+ "Czy chciałbyś, aby był %1?",
+ ),
+ ),
+ (
+ r"Mój (.*)",
+ (
+ "Rozumiem, twój %1.",
+ "Dlaczego mówisz, że twój %1?",
+ "Kiedy Twój %1, jak się czujesz?",
+ ),
+ ),
+ (
+ r"Ty (.*)",
+ (
+ "Powinniśmy rozmawiać o Tobie, nie o mnie.",
+ "Dlaczego tak o mnie mówisz?",
+ "Dlaczego obchodzi cię, czy ja %1?",
+ ),
+ ),
+ (r"Dlaczego (.*)", ("Powiedz mi dlaczego %1?", "Wydaje ci się że, %1?")),
+ (
+ r"Ja chcę (.*)",
+ (
+ "Co by dla ciebie znaczyło, gdybyś dostał %1?",
+ "Dlaczego chcesz %1?",
+ "Co byś zrobił, gdybyś dostał %1?",
+ "Jeśli masz %1, co byś zrobił?",
+ ),
+ ),
+ (
+ r"(.*) mother(.*)",
+ (
+ "Tell me more about your mother.",
+ "What was your relationship with your mother like?",
+ "How do you feel about your mother?",
+ "How does this relate to your feelings today?",
+ "Good family relations are important.",
+ ),
+ ),
+ (
+ r"(.*) father(.*)",
+ (
+ "Tell me more about your father.",
+ "How did your father make you feel?",
+ "How do you feel about your father?",
+ "Does your relationship with your father relate to your feelings today?",
+ "Do you have trouble showing affection with your family?",
+ ),
+ ),
+ (
+ r"(.*) child(.*)",
+ (
+ "Did you have close friends as a child?",
+ "What is your favorite childhood memory?",
+ "Do you remember any dreams or nightmares from childhood?",
+ "Did the other children sometimes tease you?",
+ "How do you think your childhood experiences relate to your feelings today?",
+ ),
+ ),
+ (
+ r"(.*)\?",
+ (
+ "Why do you ask that?",
+ "Please consider whether you can answer your own question.",
+ "Perhaps the answer lies within yourself?",
+ "Why don't you tell me?",
+ ),
+ ),
+ (
+ r"quit",
+ (
+ "Thank you for talking with me.",
+ "Good-bye.",
+ "Thank you, that will be $150. Have a good day!",
+ ),
+ ),
+ (
+ r"(.*)",
+ (
+ "Please tell me more.",
+ "Let's change focus a bit... Tell me about your family.",
+ "Can you elaborate on that?",
+ "Why do you say that %1?",
+ "I see.",
+ "Very interesting.",
+ "%1.",
+ "I see. And what does that tell you?",
+ "How does that make you feel?",
+ "How do you feel when you say that?",
+ ),
+ ),
+)
+
+eliza_chatbot = Chat(pairs, reflections)
+
+
+def eliza_chat():
+ print("Psychiatrist\n---------")
+ print("Talk to the program by typing in plain English, using normal upper-")
+ print('and lower-case letters and punctuation. Enter "quit" when done.')
+ print("=" * 72)
+ print("Hello. My name is Eliza.\nHow are you feeling today?")
+
+ eliza_chatbot.converse()
+
+
+def demo():
+ eliza_chat()
+
+
+if __name__ == "__main__":
+ demo()
diff --git a/AJN.ipynb b/AJN.ipynb
index 8f87484..f13c471 100644
--- a/AJN.ipynb
+++ b/AJN.ipynb
@@ -277,7 +277,7 @@
"notebook_metadata_filter": "-all"
},
"kernelspec": {
- "display_name": "Python 3",
+ "display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
@@ -292,7 +292,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.3"
+ "version": "3.7.13"
},
"subtitle": "7.Parsing semantyczny z wykorzystaniem gramatyk[laboratoria]",
"title": "Systemy Dialogowe",
diff --git a/chatbot.ipynb b/chatbot.ipynb
new file mode 100644
index 0000000..ee3b22d
--- /dev/null
+++ b/chatbot.ipynb
@@ -0,0 +1,163 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "encouraging-december",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdin",
+ "output_type": "stream",
+ "text": [
+ ">>> chce 2 bilety\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "tytul\n",
+ "{'ilosc': '2', 'tytul': None, 'dzien': None, 'godzina': None}\n",
+ "Na jaki film ma zostać dokonana rezerwacja?\n"
+ ]
+ },
+ {
+ "name": "stdin",
+ "output_type": "stream",
+ "text": [
+ ">>> chce na film batman\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "ilosc\n",
+ "{'ilosc': None, 'tytul': 'Batman', 'dzien': None, 'godzina': None}\n",
+ "Ile biletów ma zostać zarezerwowanych?\n"
+ ]
+ },
+ {
+ "name": "stdin",
+ "output_type": "stream",
+ "text": [
+ ">>> chce 2 bilety\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "tytul\n",
+ "{'ilosc': '2', 'tytul': None, 'dzien': None, 'godzina': None}\n",
+ "Na jaki film ma zostać dokonana rezerwacja?\n"
+ ]
+ },
+ {
+ "name": "stdin",
+ "output_type": "stream",
+ "text": [
+ ">>> chce 2 bilety na film batman\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "dzien\n",
+ "{'ilosc': '2', 'tytul': 'Batman', 'dzien': None, 'godzina': None}\n",
+ "Na który dzień ma być dokonana rezerwacja?\n"
+ ]
+ },
+ {
+ "name": "stdin",
+ "output_type": "stream",
+ "text": [
+ ">>> chce na jutro\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "ilosc\n",
+ "{'ilosc': None, 'tytul': None, 'dzien': 'jutro', 'godzina': None}\n",
+ "Ile biletów ma zostać zarezerwowanych?\n"
+ ]
+ },
+ {
+ "ename": "KeyboardInterrupt",
+ "evalue": "Interrupted by user",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 14\u001b[0;31m \u001b[0mtext\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'>>>'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 15\u001b[0m \u001b[0mframe\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0majn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 16\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/ipykernel/kernelbase.py\u001b[0m in \u001b[0;36mraw_input\u001b[0;34m(self, prompt)\u001b[0m\n\u001b[1;32m 849\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parent_ident\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 850\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parent_header\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 851\u001b[0;31m \u001b[0mpassword\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 852\u001b[0m )\n\u001b[1;32m 853\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/ipykernel/kernelbase.py\u001b[0m in \u001b[0;36m_input_request\u001b[0;34m(self, prompt, ident, parent, password)\u001b[0m\n\u001b[1;32m 890\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 891\u001b[0m \u001b[0;31m# re-raise KeyboardInterrupt, to truncate traceback\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 892\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Interrupted by user\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 893\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 894\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwarning\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Invalid Message:\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexc_info\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m: Interrupted by user"
+ ]
+ }
+ ],
+ "source": [
+ "from DST import Dst\n",
+ "from AJN import *\n",
+ "from NLG import nlg\n",
+ "\n",
+ "\n",
+ "\n",
+ "if __name__ == \"__main__\":\n",
+ " \n",
+ " dst = Dst()\n",
+ " next_question = dst.get_next_question()\n",
+ " while (next_question):\n",
+ " \n",
+ " \n",
+ " text = input('>>>')\n",
+ " frame = ajn(text)\n",
+ " \n",
+ " dst.save_answer(frame['slots'])\n",
+ " \n",
+ " next_question = dst.get_next_question()\n",
+ " print(next_question)\n",
+ " print(dst.checklist)\n",
+ "# print(frame['act'])\n",
+ " nlg(next_question)\n",
+ "\n",
+ " \n",
+ " \n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "yellow-acquisition",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "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": "3.7.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/modules/.ipynb_checkpoints/AJN-checkpoint.py b/modules/.ipynb_checkpoints/AJN-checkpoint.py
new file mode 100644
index 0000000..4ace0dd
--- /dev/null
+++ b/modules/.ipynb_checkpoints/AJN-checkpoint.py
@@ -0,0 +1,50 @@
+import jsgf
+from os import listdir
+from os.path import isfile, join
+
+mypath = "./grammar/"
+onlyfiles = [f for f in listdir(mypath) if isfile(join(mypath, f))]
+
+grammars = []
+
+for grammarFile in onlyfiles:
+ grammar = jsgf.parse_grammar_file(mypath + grammarFile)
+ grammars.append(grammar)
+
+class Ajn:
+
+
+
+ def __init__(self, grammars = None):
+ self.grammars = grammars
+
+ def get_dialog_act(rule):
+ slots = []
+ get_slots(rule.expansion, slots)
+ return {'act': rule.grammar.name, 'slots': slots}
+
+ def get_slots(expansion, slots):
+ if expansion.tag != '':
+ slots.append((expansion.tag, expansion.current_match))
+ return
+
+ for child in expansion.children:
+ get_slots(child, slots)
+
+ if not expansion.children and isinstance(expansion, jsgf.NamedRuleRef):
+ get_slots(expansion.referenced_rule.expansion, slots)
+
+ def nlu(utterance):
+ matched = None
+ for grammar in grammars:
+ matched = grammar.find_matching_rules(utterance)
+ if matched:
+ break
+
+ if matched:
+ return get_dialog_act(matched[0])
+ else:
+ return {'act': 'null', 'slots': []}
+
+
+ajn = Ajn()
\ No newline at end of file
diff --git a/modules/.ipynb_checkpoints/DST-checkpoint.py b/modules/.ipynb_checkpoints/DST-checkpoint.py
new file mode 100644
index 0000000..7b516f6
--- /dev/null
+++ b/modules/.ipynb_checkpoints/DST-checkpoint.py
@@ -0,0 +1,27 @@
+class Dst:
+ def __init__(self):
+ self.messages = []
+ self.checklist = {
+ "ilosc": None,
+ "tytul": None,
+ "dzien": None,
+ "godzina": None
+ }
+ self.history = []
+
+ def store(self, message):
+ self.messages.append(message)
+
+ def get_messages(self):
+ return self.messages
+
+ def get_next_question(self):
+ for key, value in self.checklist.items():
+ if value == None:
+ return key
+
+ def save_answer(self, slots):
+ for slot in slots:
+ self.checklist[slot[0]] = slot[1]
+
+ self.messages.append(slots)
\ No newline at end of file
diff --git a/modules/NLG.py b/modules/NLG.py
new file mode 100644
index 0000000..2947fd2
--- /dev/null
+++ b/modules/NLG.py
@@ -0,0 +1,10 @@
+def nlg(query):
+ if query == 'dzien':
+ print("Na który dzień ma być dokonana rezerwacja?")
+ if query == 'godzina':
+ print("Na którą godzinę ma być dokonana rezerwacja?")
+ if query == 'ilosc':
+ print("Ile biletów ma zostać zarezerwowanych?")
+ if query == 'tytul':
+ print("Na jaki film ma zostać dokonana rezerwacja?")
+
diff --git a/modules/__pycache__/AJN.cpython-37.pyc b/modules/__pycache__/AJN.cpython-37.pyc
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