From 7131b152e443153a42f24dce15f201dff3d4ba2e Mon Sep 17 00:00:00 2001 From: Justin <9146678+brickfrog@users.noreply.github.com> Date: Mon, 30 Sep 2024 21:17:02 -0400 Subject: [PATCH] initial --- .github/workflows/update_space.yml | 28 +++ .gitignore | 168 ++++++++++++++++++ LICENSE | 24 +++ README.md | 93 ++++++++++ app.py | 272 +++++++++++++++++++++++++++++ example.png | Bin 0 -> 132291 bytes favicon.ico | Bin 0 -> 4286 bytes pyproject.toml | 25 +++ requirements.txt | 2 + 9 files changed, 612 insertions(+) create mode 100644 .github/workflows/update_space.yml create mode 100644 .gitignore create mode 100644 LICENSE create mode 100644 README.md create mode 100644 app.py create mode 100644 example.png create mode 100644 favicon.ico create mode 100644 pyproject.toml create mode 100644 requirements.txt diff --git a/.github/workflows/update_space.yml b/.github/workflows/update_space.yml new file mode 100644 index 0000000..4195329 --- /dev/null +++ b/.github/workflows/update_space.yml @@ -0,0 +1,28 @@ +name: Run Python script + +on: + push: + branches: + - master + +jobs: + build: + runs-on: ubuntu-latest + + steps: + - name: Checkout + uses: actions/checkout@v2 + + - name: Set up Python + uses: actions/setup-python@v2 + with: + python-version: '3.12' + + - name: Install Gradio + run: python -m pip install gradio + + - name: Log in to Hugging Face + run: python -c 'import huggingface_hub; huggingface_hub.login(token="${{ secrets.hf_token }}")' + + - name: Deploy to Spaces + run: gradio deploy diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..a9bf24d --- /dev/null +++ b/.gitignore @@ -0,0 +1,168 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/latest/usage/project/#working-with-version-control +.pdm.toml +.pdm-python +.pdm-build/ + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +# VSCode / Misc +.vscode +.ruff_cache +flagged +*.csv \ No newline at end of file diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..3fc4b9d --- /dev/null +++ b/LICENSE @@ -0,0 +1,24 @@ +BSD 2-Clause License + +Copyright (c) 2024, justin + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/README.md b/README.md new file mode 100644 index 0000000..95fd77b --- /dev/null +++ b/README.md @@ -0,0 +1,93 @@ +--- +title: AnkiGen +app_file: app.py +requirements: requirements.txt +python: 3.12 +sdk: gradio +sdk_version: 4.44.0 +--- + +# AnkiGen - Anki Card Generator + +AnkiGen is a Gradio-based web application that generates Anki-compatible CSV files using Large Language Models (LLMs) based on user-specified subjects and preferences. + +![AnkiGen Screenshot](example.png) + +## Features + +- Generate Anki cards for various subjects +- Customizable number of topics and cards per topic +- User-friendly interface powered by Gradio +- Exports to CSV format compatible with Anki import +- Utilizes LLMs for high-quality content generation + +## Installation for Local Use + +1. Clone this repository: + +``` +git clone https://github.com/yourusername/ankigen.git +cd ankigen +``` + + +2. Install the required dependencies: + +``` +pip install -r requirements.txt +``` + +3. Set up your OpenAI API key (required for LLM functionality). + +## Usage + +1. Run the application: + +``` +gradio app.py --demo-name ankigen +``` + +2. Open your web browser and navigate to the provided local URL (typically `http://127.0.0.1:7860`). + +3. In the application interface: +- Enter your OpenAI API key +- Specify the subject you want to create cards for +- Adjust the number of topics and cards per topic +- (Optional) Add any preference prompts +- Click "Generate Cards" + +4. Review the generated cards in the interface. + +5. Click "Export to CSV" to download the Anki-compatible file. + +## CSV Format + +The generated CSV file includes the following fields: +- Index +- Topic +- Question +- Answer +- Explanation +- Example + +You can create a new note type in Anki with these fields to handle importing. + +## Development + +This project is built with: +- Python 3.12 +- Gradio 4.44.0 + +To contribute or modify: +1. Make your changes in `app.py` +2. Update `requirements.txt` if you add new dependencies +3. Test thoroughly before submitting pull requests + +## License + +BSD 2.0 + +## Acknowledgments + +- This project uses the Gradio library (https://gradio.app/) for the web interface +- Card generation is powered by OpenAI's language models \ No newline at end of file diff --git a/app.py b/app.py new file mode 100644 index 0000000..c174121 --- /dev/null +++ b/app.py @@ -0,0 +1,272 @@ +from openai import OpenAI +from pydantic import BaseModel +from typing import List, Optional +import gradio as gr + + +class Step(BaseModel): + explanation: str + output: str + + +class Subtopics(BaseModel): + steps: List[Step] + result: List[str] + + +class Topics(BaseModel): + result: List[Subtopics] + + +class CardFront(BaseModel): + question: Optional[str] = None + + +class CardBack(BaseModel): + answer: Optional[str] = None + explanation: str + example: str + + +class Card(BaseModel): + front: CardFront + back: CardBack + + +class CardList(BaseModel): + topic: str + cards: List[Card] + + +def structured_output_completion( + client, model, response_format, system_prompt, user_prompt +): + try: + completion = client.beta.chat.completions.parse( + model=model, + messages=[ + {"role": "system", "content": system_prompt.strip()}, + {"role": "user", "content": user_prompt.strip()}, + ], + response_format=response_format, + ) + + except Exception as e: + print(f"An error occurred during the API call: {e}") + return None + + try: + if not hasattr(completion, "choices") or not completion.choices: + print("No choices returned in the completion.") + return None + + first_choice = completion.choices[0] + if not hasattr(first_choice, "message"): + print("No message found in the first choice.") + return None + + if not hasattr(first_choice.message, "parsed"): + print("Parsed message not available in the first choice.") + return None + + return first_choice.message.parsed + + except Exception as e: + print(f"An error occurred while processing the completion: {e}") + raise gr.Error(f"Processing error: {e}") + + +def generate_cards( + api_key_input, + subject, + topic_number=1, + cards_per_topic=2, + preference_prompt="assume I'm a beginner", +): + """ + Generates flashcards for a given subject. + + Parameters: + - subject (str): The subject to generate cards for. + - topic_number (int): Number of topics to generate. + - cards_per_topic (int): Number of cards per topic. + - preference_prompt (str): User preferences to consider. + + Returns: + - List[List[str]]: A list of rows containing + [topic, question, answer, explanation, example]. + """ + + gr.Info("Starting process") + + if not api_key_input: + return gr.Error("Error: OpenAI API key is required.") + + client = OpenAI(api_key=api_key_input) + model = "gpt-4o-mini" + + all_card_lists = [] + + system_prompt = f""" + You are an expert in {subject}, assisting the user to master the topic while + keeping in mind the user's preferences: {preference_prompt}. + """ + + topic_prompt = f""" + Generate the top {topic_number} important subjects to know on {subject} in + order of ascending difficulty. + """ + + try: + topics_response = structured_output_completion( + client, model, Topics, system_prompt, topic_prompt + ) + if topics_response is None: + print("Failed to generate topics.") + return [] + if not hasattr(topics_response, "result") or not topics_response.result: + print("Invalid topics response format.") + return [] + topic_list = [ + item for subtopic in topics_response.result for item in subtopic.result + ][:topic_number] + except Exception as e: + raise gr.Error(f"Topic generation failed due to {e}") + + for topic in topic_list: + card_prompt = f""" + You are to generate {cards_per_topic} cards on {subject}: "{topic}" + keeping in mind the user's preferences: {preference_prompt}. + + Questions should cover both sample problems and concepts. + + Use the explanation field to help the user understand the reason behind things + and maximize learning. Additionally, offer tips (performance, gotchas, etc.). + """ + + try: + cards = structured_output_completion( + client, model, CardList, system_prompt, card_prompt + ) + if cards is None: + print(f"Failed to generate cards for topic '{topic}'.") + continue + if not hasattr(cards, "topic") or not hasattr(cards, "cards"): + print(f"Invalid card response format for topic '{topic}'.") + continue + all_card_lists.append(cards) + except Exception as e: + print(f"An error occurred while generating cards for topic '{topic}': {e}") + continue + + flattened_data = [] + + for card_list_index, card_list in enumerate(all_card_lists, start=1): + try: + topic = card_list.topic + # Get the total number of cards in this list to determine padding + total_cards = len(card_list.cards) + # Calculate the number of digits needed for padding + padding = len(str(total_cards)) + + for card_index, card in enumerate(card_list.cards, start=1): + # Format the index with zero-padding + index = f"{card_list_index}.{card_index:0{padding}}" + question = card.front.question + answer = card.back.answer + explanation = card.back.explanation + example = card.back.example + row = [index, topic, question, answer, explanation, example] + flattened_data.append(row) + except Exception as e: + print(f"An error occurred while processing card {index}: {e}") + continue + + return flattened_data + + +def export_csv(d): + MIN_ROWS = 2 + + if len(d) < MIN_ROWS: + gr.Warning(f"The dataframe has fewer than {MIN_ROWS} rows. Nothing to export.") + return None + + gr.Info("Exporting...") + d.to_csv("anki_deck.csv", index=False) + return gr.File(value="anki_deck.csv", visible=True) + + +with gr.Blocks( + gr.themes.Soft(), title="AnkiGen", css="footer{display:none !important}" +) as ankigen: + gr.Markdown("# 📚 AnkiGen - Anki Card Generator") + gr.Markdown( + """ + #### Generate an Anki comptible .csv using LLMs based on your subject and preferences. + """ + ) + + with gr.Row(): + with gr.Column(scale=1): + gr.Markdown("### Configuration") + + api_key_input = gr.Textbox( + label="OpenAI API Key", + type="password", + placeholder="Enter your OpenAI API key", + ) + subject = gr.Textbox( + label="Subject", + placeholder="Enter the subject, e.g., 'Basic SQL Concepts'", + ) + topic_number = gr.Slider( + label="Number of Topics", minimum=2, maximum=20, step=1, value=2 + ) + cards_per_topic = gr.Slider( + label="Cards per Topic", minimum=2, maximum=30, step=1, value=3 + ) + preference_prompt = gr.Textbox( + label="Preference Prompt", + placeholder="Any preferences? e.g., 'Assume I'm a beginner'", + ) + generate_button = gr.Button("Generate Cards") + with gr.Column(scale=2): + gr.Markdown("### Generated Cards") + gr.Markdown( + """ + Subject to change: currently exports a .csv with the following fields, you can + create a new note type with these fields to handle importing.: + Index, Topic, Question, Answer, Explanation, Example + """) + output = gr.Dataframe( + headers=[ + "Index", + "Topic", + "Question", + "Answer", + "Explanation", + "Example", + ], + interactive=False, + height=800, + ) + export_button = gr.Button("Export to CSV") + download_link = gr.File(interactive=False, visible=False) + + generate_button.click( + fn=generate_cards, + inputs=[ + api_key_input, + subject, + topic_number, + cards_per_topic, + preference_prompt, + ], + outputs=output, + ) + + export_button.click(fn=export_csv, inputs=output, outputs=download_link) + +if __name__ == "__main__": + 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"ankigen" +version = "0.1.0" +description = "" +authors = [ + {name = "Justin", email = "9146678+brickfrog@users.noreply.github.com"} +] +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "openai>=1.35.10", + "gradio>=4.44.1", +] + +[project.optional-dependencies] +dev = [ + "ipykernel>=6.29.5", +] + +[tool.setuptools] +py-modules = ["app"] \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..bd3f994 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,2 @@ +gradio +openai \ No newline at end of file