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| title: Scenes From Tomorrow | |
| emoji: 🏞️ | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: docker | |
| sdk_version: "3.10" | |
| suggested_hardware: t4-medium | |
| short_description: LLM-agent to help people take action on Climate Change | |
| app_file: app.py | |
| pinned: false | |
| This chainlit app will use an [OpenAI Assistant](https://platform.openai.com/docs/assistants/overview) and the amazing [Probable futures](https://probablefutures.org/) API to provide | |
| climate change information for a location, and provide some helpful resources for how to prepare. | |
| The chainlit app is based off the cookbook example [here](https://github.com/Chainlit/cookbook/tree/main/openai-assistant). As of August 2024, in process of updates for newer version of OpenAI and Chainlit python libraries. | |
|  | |
| # Setup | |
| You will need a probable future API key, see [here](https://docs.probablefutures.org/api-access/) for more details. You will also need an [OPENAI key](https://platform.openai.com/docs/quickstart?context=python). | |
| Setup a Conda environment ... | |
| 1. Install [miniconda](https://docs.conda.io/en/latest/miniconda.html) by selecting the installer that fits your OS version. Once it is installed you may have to restart your terminal (closing your terminal and opening again) | |
| 2. In this directory, open terminal | |
| 3. `conda env create -f environment.yml` | |
| 4. `conda activate climate-env` | |
| Once you have these, then ... | |
| 1. Copy `.env.example` to `.env` | |
| 2. Set OpenAI key and Probable Futures API user and secret | |
| 3. Create assisstent with `python3 create_assistant.py` | |
| 4. Copy the assiostant id from output and put into `.env` | |
| If you make changes to the assistant, rerun `create_assistant.py`, which will update the existing assistant. | |
| # To run chainlit app | |
| `chainlit run app.py` | |
| # To view assistant on OpenAI | |
| Go [here](https://platform.openai.com/assistants) | |