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| title: lv-recipe-chatbot | |
| emoji: 🫑 | |
| colorFrom: green | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 4.36.1 | |
| app_file: app.py | |
| pinned: false | |
| license: unknown | |
| # lv-recipe-chatbot | |
| <!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! --> | |
| ## Install | |
| ``` sh | |
| pip install -e '.[dev]' | |
| ``` | |
| ## How to use | |
| ``` python | |
| from dotenv import load_dotenv | |
| load_dotenv() # or load environment vars with different method | |
| demo = app.create_demo(app.ConversationBot()) | |
| demo.launch() | |
| ``` | |
| Running on local URL: http://127.0.0.1:7860 | |
| To create a public link, set `share=True` in `launch()`. | |
| <div><iframe src="http://127.0.0.1:7860/" width="100%" height="500" allow="autoplay; camera; microphone; clipboard-read; clipboard-write;" frameborder="0" allowfullscreen></iframe></div> | |
| or | |
| ``` sh | |
| python3 app.py | |
| ``` | |
| ## Dev quick-start | |
| `git clone` the repo | |
| ``` sh | |
| cd lv-recipe-chatbot | |
| ``` | |
| Make sure to use the version of python specified in `py_version.txt` | |
| Create a virtual environment. | |
| ``` sh | |
| python3 -m venv env | |
| ``` | |
| Activate the env and install dependencies. | |
| ``` sh | |
| source env/bin/activate | |
| pip install -r requirements.txt | |
| pip install -r requirements/dev.txt | |
| ``` | |
| To make the Jupyter environment, git friendly: `nbdev_install_hooks` | |
| If you want to render documentation locally, you will want to [install | |
| Quarto](https://nbdev.fast.ai/tutorials/tutorial.html#install-quarto). | |
| `nbdev_install_quarto` | |
| Put API secrets in .env | |
| ``` sh | |
| cp .env.example .env | |
| ``` | |
| Edit .env with your secret key(s). Only `OPEN_AI_KEY` is required. | |
| Then start the Gradio demo from within the virtual environment. | |
| ``` sh | |
| python3 app.py | |
| ``` | |
| Preview documentation | |
| ``` sh | |
| nbdev_preview | |
| ``` | |
| ## Dependencies | |
| If a new dependency for development is helpful for developers, add it to | |
| `dev.txt`. | |
| If it is a dependency for the app that is imported in source code, add | |
| it to `core.txt`. | |
| Then run: | |
| ``` sh | |
| scripts/pin_requirements.sh | |
| ``` | |
| This will update our `requirements.txt` to include the dependency as it | |
| should be pinned in the environment. | |
| ## Development | |
| [quick nbdev tutorial](https://nbdev.fast.ai/tutorials) | |
| Make changes in `/nbs`. | |
| Update the package files with `nbdev_export` then reimport with | |
| `pip install -e '.[dev]'` | |
| Preview doc `nbdev_preview` | |
| Build docs, test and update README `nbdev_prepare` | |
| ## Useful links | |
| - [Task Matrix (Formerly Visual | |
| ChatGPT)](https://github.com/microsoft/TaskMatrix) | |
| - [LangChain](https://python.langchain.com/en/latest/index.html) | |
| - [LLM Prompt Engineering](https://www.promptingguide.ai) | |
| - [OpenAI best practices for | |
| prompts](https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api) |