From 6b6862854947a50b9b8e2c8d4695b5d46cbc91b8 Mon Sep 17 00:00:00 2001 From: Zachary Levonian Date: Mon, 4 Dec 2023 18:02:45 -0800 Subject: [PATCH] Add initial version of new standalone hint generation app --- .pre-commit-config.yaml | 6 +- DEVELOPMENT.md | 37 +- Makefile | 5 +- poetry.lock | 5665 ++++++++++++++++--------------- src/hint_generation/app.py | 231 ++ src/streamlit_app/auth_utils.py | 4 +- 6 files changed, 3151 insertions(+), 2797 deletions(-) create mode 100644 src/hint_generation/app.py diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index bccaac5..e57eea9 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -19,11 +19,11 @@ repos: hooks: - id: pyupgrade args: [--py37-plus] -- repo: https://github.com/psf/black - rev: 23.7.0 +- repo: https://github.com/psf/black-pre-commit-mirror + rev: 23.11.0 hooks: - id: black - language_version: python3.9 + language_version: python3.10 - repo: https://github.com/nbQA-dev/nbQA rev: 1.7.0 hooks: diff --git a/DEVELOPMENT.md b/DEVELOPMENT.md index 24fae5c..52eefe7 100644 --- a/DEVELOPMENT.md +++ b/DEVELOPMENT.md @@ -76,7 +76,7 @@ A few notes about the app. #### Deployment -Manually deployed via `levon003`'s account. +Manually deployed via `levon003`'s Streamlit account. #### Authentication @@ -90,15 +90,40 @@ AUTH_TOKEN = "argon2:$argon2id$v=19$m=10240,t=10,p=8$MuVIOw20jkOi1nKR90hPhA$H22n To generate the auth_token: ``` ->>> import notebook.auth.security ->>> notebook.auth.security.passwd() -Enter password: abc -Verify password: abc -'argon2:$argon2id$v=19$m=10240,t=10,p=8$MuVIOw20jkOi1nKR90hPhA$H22nY8aNyfztLYQCSj5NRw5/Cy2WOo6kl3K61RyaoZY' +>>> from streamlit_app import auth_utils +>>> import getpass +>>> auth_utils.passwd_hash(getpass.getpass()) +Password: abc +'argon2:$argon2id$v=19$m=10240,t=10,p=8$VfrxYg66b419O8hFi+vCLA$HZXq1dU0+KMUbOBxJjLaweXoHguJH+2AkPL1EurOOys' ``` If the AUTH_TOKEN is provided in the secrets, can authenticate automatically via URL parameter, e.g. `{base_url}?auth_token=abc`. +Generate your own secure auth token. + +First: + +``` +>>> from streamlit_app import auth_utils +>>> auth_token = auth_utils.generate_auth_token() +>>> auth_token +'21bbeab31ed2a3ebcd5563df65db64ba' +>>> auth_utils.passwd_hash(auth_token) +'argon2:$argon2id$v=19$m=10240,t=10,p=8$ECyPoKgu51axdr4rgktOCA$qmrYxYoSaVq4uCwm9W5csfltApcKBQRTHLdtQY9OVKI' +``` + +Second, put the generated token in `secrets.toml`: + +``` +AUTH_TOKEN="argon2:$argon2id$v=19$m=10240,t=10,p=8$ECyPoKgu51axdr4rgktOCA$qmrYxYoSaVq4uCwm9W5csfltApcKBQRTHLdtQY9OVKI" +``` + +Third, you can then authenticate with `{base_url}?auth_token=21bbeab31ed2a3ebcd5563df65db64ba` + +#### Hint generation app + +The standalone hint-generation app is hosted at `src/hint_generation/app.py`. + ## Data The Streamlit demo draws on data from a few sources. diff --git a/Makefile b/Makefile index ad49200..091c293 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,4 @@ -.PHONY: help install ensure-poetry install-precommits install-kernel test run-streamlit build-docker run-docker +.PHONY: help install ensure-poetry install-precommits install-kernel test run-streamlit run-hint-generation-streamlit build-docker run-docker help: @echo "Relevant targets are 'install' and 'test'." @@ -49,3 +49,6 @@ remove-docker: run-streamlit: @streamlit run src/🤖_Math_QA.py -- + +run-hint-generation-streamlit: + @streamlit run src/hint_generation/app.py -- diff --git a/poetry.lock b/poetry.lock index 8bf447b..5f9fbd2 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,119 +1,105 @@ -# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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"jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] [metadata] diff --git a/src/hint_generation/app.py b/src/hint_generation/app.py new file mode 100644 index 0000000..25d3394 --- /dev/null +++ b/src/hint_generation/app.py @@ -0,0 +1,231 @@ +import openai +import streamlit as st + +from llm_math_education import prompt_utils, retrieval_strategies +from llm_math_education.prompts import hints as hint_prompts +from streamlit_app import auth_utils, chat_utils, data_utils + +QUESTION_SELECTBOX_DEFAULT_STRING = "(Choose a question from a Rori micro-lesson)" +HINT_TYPE_BUTTON_LABELS_MAP = { + "hint_sequence": "Get a hint sequence", + "slip_correction": "Correct a slip", + "misconception": "Describe a misconception", + "comparative_hint": "Compare this problem to a worked example", +} + + +def question_selectbox_changed(): + if st.session_state.question_selectbox != QUESTION_SELECTBOX_DEFAULT_STRING: + display_name = st.session_state.question_selectbox + question_df = data_utils.load_hint_problem_data() + selected = question_df[question_df.display_name == display_name] + assert len(selected) == 1 + selected = selected.iloc[0] + st.session_state.question_text_area = selected.question + st.session_state.incorrect_answer_text_input = selected.incorrect_answer + st.session_state.correct_answer_text_input = selected.answer + st.session_state.lesson_text_area = selected.lesson_trimmed + + +def hint_chat_input_changed(): + st.session_state.hint_chat_input_new_value = st.session_state.hint_chat_input + + +def hint_type_button_clicked(hint_type: str): + create_new_hint(hint_type) + + +def process_hint_query(messages: list[dict]): + # show the generated prompt if expert controls enabled + if st.session_state.show_expert_controls: + with st.expander("Prompt"): + prompt = prompt_utils.PromptSelector.convert_conversation_to_string( + st.session_state.hint_prompt_manager.stored_messages, + ) + prompt = prompt.replace("\n", "\n\n") + st.markdown(prompt) + with st.chat_message("assistant", avatar=chat_utils.get_avatar("assistant")): + message_placeholder = st.empty() + with st.spinner(""): + completion = openai.ChatCompletion.create( + model="gpt-3.5-turbo-0613", + messages=messages, + ) + assistant_message = completion["choices"][0]["message"] + assert "role" in assistant_message and "content" in assistant_message + st.session_state.hint_prompt_manager.add_stored_message(assistant_message) + response = assistant_message["content"] + for displayed_message in chat_utils.stream_text_response(response): + message_placeholder.markdown(displayed_message) + + st.session_state.hint_chat_messages.append(assistant_message) + + +def create_new_hint(hint_type: str): + st.session_state.hint_chat_messages = [] + st.session_state.hint_prompt_manager.clear_stored_messages() + correct_answer = st.session_state.correct_answer_text_input.strip() + incorrect_answer = st.session_state.incorrect_answer_text_input.strip() + question = st.session_state.question_text_area.strip() + lesson = st.session_state.lesson_text_area.strip() + st.session_state.hint_prompt_manager.get_retrieval_strategy().update_map( + { + "question": question, + "correct_answer": correct_answer, + "incorrect_answer": incorrect_answer, + "lesson": lesson, + }, + ) + intro_messages = hint_prompts.intro_prompts[hint_type]["messages"] + st.session_state.hint_prompt_manager.set_intro_messages(intro_messages) + messages = st.session_state.hint_prompt_manager.build_query(None) + st.session_state.new_hint_request_messages = messages + + +def process_followup_query(user_query: str): + user_message = { + "role": "user", + "content": user_query, + } + st.session_state.hint_chat_messages.append(user_message) + with st.chat_message("user", avatar=chat_utils.get_avatar("user")): + st.markdown(user_query) + + with st.chat_message("assistant", avatar=chat_utils.get_avatar("assistant")): + message_placeholder = st.empty() + + with st.spinner(""): + messages = st.session_state.hint_prompt_manager.build_query(user_query) + completion = openai.ChatCompletion.create( + model="gpt-3.5-turbo-0613", + messages=messages, + ) + assistant_message = completion["choices"][0]["message"] + assert "role" in assistant_message and "content" in assistant_message + response = assistant_message["content"] + for displayed_message in chat_utils.stream_text_response(response): + message_placeholder.markdown(displayed_message) + + st.session_state.hint_chat_messages.append(assistant_message) + st.session_state.hint_prompt_manager.add_stored_message(assistant_message) + + +def instantiate_session(): + # settings + setting_defaults = { + "new_hint_request_messages": None, + "hint_chat_input_new_value": None, + "show_expert_controls": False, + } + # initialize all values in the settings dict + # (happens only on the first run each session) + for key_name, default_value in setting_defaults.items(): + if key_name not in st.session_state: + st.session_state[key_name] = default_value + + if "hint_prompt_manager" not in st.session_state: + st.session_state.hint_prompt_manager = prompt_utils.PromptManager() + slot_map = data_utils.create_hint_default_retrieval_slot_map() + retrieval_strategy = retrieval_strategies.MappedEmbeddingRetrievalStrategy(slot_map) + st.session_state.hint_prompt_manager.set_retrieval_strategy(retrieval_strategy) + + query_params = st.experimental_get_query_params() + if "show_expert_controls" in query_params: + if query_params["show_expert_controls"][0].lower() == "true": + st.session_state.show_expert_controls = True + + if "is_openai_key_set" not in st.session_state or not st.session_state.is_openai_key_set: + openai.api_key = st.secrets["OPENAI_API_KEY"] + st.session_state.is_openai_key_set = True + + +def build_app(): + st.markdown( + """# Hint generation + +Generate hints for practice problems given an incorrect answer. +Choose a practice problem from the bank below or insert your own lesson, worked example, and practice problem in the fields below.""", + ) + question_df = data_utils.load_hint_problem_data() + with st.expander("Lesson and worked example"): + st.text_area( + "Lesson and worked example text:", + key="lesson_text_area", + label_visibility="collapsed", + ) + st.selectbox( + "Choose a practice problem:", + [QUESTION_SELECTBOX_DEFAULT_STRING] + question_df.display_name.to_list(), + key="question_selectbox", + on_change=question_selectbox_changed, + ) + st.text_area( + "Practice problem:", + key="question_text_area", + ) + c1, c2 = st.columns(2) + with c1: + st.text_input( + "Student's incorrect answer:", + key="incorrect_answer_text_input", + ) + with c2: + st.text_input( + "Correct answer:", + key="correct_answer_text_input", + ) + are_buttons_enabled = ( + st.session_state.correct_answer_text_input.strip() != "" + and st.session_state.incorrect_answer_text_input.strip() != "" + and st.session_state.question_text_area.strip() != "" + ) + if not are_buttons_enabled: + st.warning( + f"Select a practice problem above, then choose one of {len(HINT_TYPE_BUTTON_LABELS_MAP)} hint types.", + ) + elif st.session_state.correct_answer_text_input.strip() == st.session_state.incorrect_answer_text_input.strip(): + st.warning("To generate a hint, the student's answer can't match the correct answer.") + are_buttons_enabled = False + # add the hint buttons + for hint_type, button_label in HINT_TYPE_BUTTON_LABELS_MAP.items(): + st.button( + button_label, + key=f"{hint_type}_button", + on_click=hint_type_button_clicked, + args=(hint_type,), + disabled=not are_buttons_enabled, + ) + + if "hint_chat_messages" not in st.session_state: + st.session_state.hint_chat_messages = [] + + # replay history, if there is any + for message in st.session_state.hint_chat_messages: + with st.chat_message(message["role"], avatar=chat_utils.get_avatar(message["role"])): + st.markdown(message["content"]) + + if st.session_state.new_hint_request_messages is not None: + process_hint_query(st.session_state.new_hint_request_messages) + st.session_state.new_hint_request_messages = None + elif st.session_state.hint_chat_input_new_value is not None: + user_query = st.session_state.hint_chat_input_new_value + st.session_state.hint_chat_input_new_value = None + process_followup_query(user_query) + + if len(st.session_state.hint_chat_messages) > 0: + # only display chat input once an initial hint has been generated + st.chat_input( + "Ask a follow-up question about the problem", + key="hint_chat_input", + on_submit=hint_chat_input_changed, + ) + + +st.set_page_config( + page_title="Hint generation with ChatGPT - for math educators", + page_icon="💡", +) + +if auth_utils.check_is_authorized(allow_openai_key=False): + instantiate_session() + build_app() diff --git a/src/streamlit_app/auth_utils.py b/src/streamlit_app/auth_utils.py index 0584489..c046bab 100644 --- a/src/streamlit_app/auth_utils.py +++ b/src/streamlit_app/auth_utils.py @@ -84,7 +84,7 @@ def validate_openai_api_key(openai_api_key: str) -> bool: return False -def check_is_authorized(allow_openai_key: bool = False) -> bool: +def check_is_authorized(allow_openai_key: bool = False, markdown_header: str = "") -> bool: if "is_authorized" not in st.session_state or not st.session_state.is_authorized: st.session_state.is_authorized = False if "is_authorized_via_token" not in st.session_state: @@ -97,6 +97,8 @@ def check_is_authorized(allow_openai_key: bool = False) -> bool: if st.session_state.is_authorized_via_token: st.session_state.is_authorized = True if not st.session_state.is_authorized: + if markdown_header != "": + st.markdown(markdown_header) st.text_input( "Password:", type="password",